Alejandro Giorgetti | Università di Verona (original) (raw)
Papers by Alejandro Giorgetti
System coordinates (gro files) and clustered trajectory frames (xtc files) from REST2 (replica ex... more System coordinates (gro files) and clustered trajectory frames (xtc files) from REST2 (replica exchange with solute tempering) molecular dynamics simulations of the mu-opioid receptor (MOR) embedded in a POPC membrane, surrounded by water and ions, in complex with the ligands BU72 (B72), morphine (MOP), naloxone benzoylhydrazone (NBH) and naloxone (NLX). gromacs-4.6.7 was used to perform the simulations.
Tracking the evolution of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) throug... more Tracking the evolution of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) through genomic surveillance programs is undoubtedly one of the key priorities in the current pandemic situation. Although the genome of SARS-CoV-2 acquires mutations at a slower rate compared with other RNA viruses, evolutionary pressures derived from the widespread circulation of SARS-CoV-2 in the human population have progressively favored the global emergence, though natural selection, of several variants of concern that carry multiple non-synonymous mutations in the spike glycoprotein. These are often placed in key sites within major antibody epitopes and may therefore confer resistance to neutralizing antibodies, leading to partial immune escape, or otherwise compensate infectivity deficits associated with other non-synonymous substitutions. As previously shown by other authors, several emerging variants carry recurrent deletion regions (RDRs) that display a partial overlap with antibody...
Human G protein-coupled receptors (hGPCRs) are the most frequent targets of FDA-approved drugs. S... more Human G protein-coupled receptors (hGPCRs) are the most frequent targets of FDA-approved drugs. Structural bioinformatics, along with molecular simulation, can support structure-based drug design targeting hGPCRs. In this context, several years ago, we developed a hybrid Molecular Mechanics (MM)/Coarse-Grained (CG) approach to predict ligand poses in low resolution hGPCR models. The approach was based on the GROMOS96 43A1 and PRODRG united-atom force fields for the MM part. Here, we present a new MM/CG implementation using instead the Amber 14SB and GAFF all-atom potentials for proteins and ligands, respectively. The new implementation outperforms the previous one, as shown by a variety of applications on models of hG-PCR/ligand complexes at different resolution, and it is also more user-friendly. Thus, it emerges as a useful tool to predict poses in low resolution models and provides insights into ligand binding similarly to all-atom molecular dynamics, albeit at a lower computational cost. 6
Journal of Molecular Modeling, 2020
We followed a comprehensive computational strategy to understand and eventually predict the struc... more We followed a comprehensive computational strategy to understand and eventually predict the structure-activity relationship of thirty-three 1,3-disubstituted imidazole [1,5-α] pyrazine derivatives described as ATP competitive inhibitors of the IGF-1 receptor related to Ewing sarcoma. The quantitative structure-activity relationship model showed that the inhibitory potency is correlated with the molar volume, a steric descriptor and the net charge calculated value on atom C1 (q1) and N4 (q4) of the pharmacophore, all of them appearing to give a positive contribution to the inhibitory activity. According to experimental and calculated values, the most potent compound would be 3-[4-(azetidin-2-ylmethyl) cyclohexyl]-1-[3-(benzyloxy) phenyl] imidazo [1,5-α]pyrazin-8-amine (compound 23). Docking was used to guess important residues involved in the ATP-competitive inhibitory activity. It was validated by 200 ns of molecular dynamics (MD) simulation using improved linear interaction energy (LIE) method. MD of previously preferred structures by docking shows that the most potent ligand could establish hydrogen bonds with the ATP-binding site of the receptor, and the Ser979 and Ser1059 residues contribute favourably to the binding stability of compound 23. MD simulation also gave arguments about the chemical structure of the compound 23 being able to fit in the ATPbinding pocket, expecting to remain stable into it during the entire simulation and allowing us to hint the significant contribution expected to be given by electrostatic and hydrophobic interactions to the ligand-receptor complex stability. This computational combined strategy here described could represent a useful and effective prime approach to guide the identification of tyrosine kinase inhibitors as new lead compounds.
International Journal of Molecular Sciences, 2020
Aceruloplasminemia is a rare autosomal recessive genetic disease characterized by mild microcytic... more Aceruloplasminemia is a rare autosomal recessive genetic disease characterized by mild microcytic anemia, diabetes, retinopathy, liver disease, and progressive neurological symptoms due to iron accumulation in pancreas, retina, liver, and brain. The disease is caused by mutations in the Ceruloplasmin (CP) gene that produce a strong reduction or absence of ceruloplasmin ferroxidase activity, leading to an impairment of iron metabolism. Most patients described so far are from Japan. Prompt diagnosis and therapy are crucial to prevent neurological complications since, once established, they are usually irreversible. Here, we describe the largest series of non-Japanese patients with aceruloplasminemia published so far, including 13 individuals from 11 families carrying 13 mutations in the CP gene (7 missense, 3 frameshifts, and 3 splicing mutations), 10 of which are novel. All missense mutations were studied by computational modeling. Clinical manifestations were heterogeneous, but anem...
Biochimie, 2016
In this work the dimerization process of the minor allelic form of human alanine glyoxylate amino... more In this work the dimerization process of the minor allelic form of human alanine glyoxylate aminotransferase, a pyridoxal 5'-phosphate enzyme, was investigated. Bioinformatic analyses followed by site-directed mutagenesis, size exclusion chromatography and catalytic activity experiments allowed us to identify Arg118, Phe238 and Phe240 as interfacial residues not essential for transaminase activity but important for dimer-monomer dissociation. The apo and the holo forms of the triple mutant R118A-Mi/F238S-Mi/F240S-Mi display a dimer-monomer equilibrium dissociation constant value at least ~260- and 31-fold larger, respectively, than the corresponding ones of AGT-Mi. In the presence of PLP, the apomonomer of the triple mutant undergoes a biphasic process: the fast phase represents the formation of an inactive PLP-bound monomer, while the slow phase depicts the monomer-monomer association that parallels the regain of transaminase activity. The latter events occur with a rate consta...
International journal of molecular sciences, Jan 28, 2016
It is well-established that plant hemoglobins (Hbs) are involved in nitric oxide (NO) metabolism ... more It is well-established that plant hemoglobins (Hbs) are involved in nitric oxide (NO) metabolism via NO dioxygenase and/or nitrite reductase activity. The ferrous-deoxy Arabidopsis Hb1 and Hb2 (AHb1 and AHb2) have been shown to reduce nitrite to NO under hypoxia. Here, to test the hypothesis that a six- to five-coordinate heme iron transition might mediate the control of the nitrite reduction rate, we examined distal pocket mutants of AHb1 and AHb2 for nitrite reductase activity, NO production and spectroscopic features. Absorption spectra of AHbs distal histidine mutants showed that AHb1 mutant (H69L) is a stable pentacoordinate high-spin species in both ferrous and ferric states, whereas heme iron in AHb2 mutant (H66L) is hexacoordinated low-spin with Lys69 as the sixth ligand. The bimolecular rate constants for nitrite reduction to NO were 13.3 ± 0.40, 7.3 ± 0.5, 10.6 ± 0.8 and 171.90 ± 9.00 M(-1)·s(-1) for AHb1, AHb2, AHb1 H69L and AHb2 H66L, respectively, at pH 7.4 and 25 °C. C...
Biology and Medicine, 2014
3 The abbreviations used are: VDE, violaxanthin de-epoxidase; VDE cd , VDE central domain; WT, wi... more 3 The abbreviations used are: VDE, violaxanthin de-epoxidase; VDE cd , VDE central domain; WT, wild type; HPLC, high performance liquid chromatography; MES, 4-morpholineethanesulfonic acid.
Journal of Biological Chemistry, 2010
3 The abbreviations used are: VDE, violaxanthin de-epoxidase; VDE cd , VDE central domain; WT, wi... more 3 The abbreviations used are: VDE, violaxanthin de-epoxidase; VDE cd , VDE central domain; WT, wild type; HPLC, high performance liquid chromatography; MES, 4-morpholineethanesulfonic acid.
Journal of Basic Microbiology, 2013
Burkholderia fungorum DBT1, first isolated from settling particulate matter of an oil refinery wa... more Burkholderia fungorum DBT1, first isolated from settling particulate matter of an oil refinery wastewater, is a bacterial strain which has been shown capable of utilizing several polycyclic aromatic hydrocarbons (PAHs) including dibenzothiophene (DBT). In particular, this microbe is able to efficiently degrade DBT through the Kodama pathway. Previous investigations have lead to the identification of six genes, on a total of eight, required for DBT degradation. In the present study, a combined experimental/computational approach was adopted to identify and in silico characterize the two missing genes, namely a ferredoxin reductase and a hydratase-aldolase. Thus, the finding of all enzymatic components of the Kodama pathway in B. fungorum DBT1 makes this bacterial strain amenable for possible exploitation in soil bioremediation protocols.
Bioinformatics
Motivation We present pyGOMoDo, a Python library to perform homology modeling and docking, specif... more Motivation We present pyGOMoDo, a Python library to perform homology modeling and docking, specifically designed for human GPCRs. pyGOMoDo is a python wrap-up of the updated functionalities of GOMoDo web server (https://molsim.sci.univr.it/gomodo). It was developed having in mind its usage through Jupyter notebooks, where users can create their own protocols of modeling and docking of GPCRs. In this article, we focus on the internal structure and general capabilities of pyGOMoDO and on how it can be useful for carrying out structural biology studies of GPCRs. Results The source code is freely available at https://github.com/rribeiro-sci/pygomodo under the Apache 2.0 license. Tutorial notebooks containing minimal working examples can be found at https://github.com/rribeiro-sci/pygomodo/tree/main/examples.
continued a series of events covering topics related to bioinformatics, biocomputational systems ... more continued a series of events covering topics related to bioinformatics, biocomputational systems and biotechnologies. Bioinformatics deals with the system-level study of complex interactions in biosystems providing a quantitative systemic approach to understand them and appropriate tool support and concepts to model them. Understanding and modeling biosystems requires simulation of biological behaviors and functions. Bioinformatics itself constitutes a vast area of research and specialization, as many classical domains such as databases, modeling, and regular expressions are used to represent, store, retrieve and process a huge volume of knowledge. There are aspects concerning biocomputation technologies, bioinformatics mechanisms dealing with chemoinformatics, bioimaging, and neuroinformatics. Biotechnology is defined as the industrial use of living organisms or biological techniques developed through basic research. Bio-oriented technologies became very popular in various research topics and industrial market segments. Current human mechanisms seem to offer significant ways for improving theories, algorithms, technologies, products and systems. The focus is driven by fundamentals in approaching and applying biotechnologies in terms of engineering methods, special electronics, and special materials and systems. Borrowing simplicity and performance from the real life, biodevices cover a large spectrum of areas, from sensors, chips, and biometry to computing. One of the chief domains is represented by the biomedical biotechnologies, from instrumentation to monitoring, from simple sensors to integrated systems, including image processing and visualization systems. As the state-of-the art in all the domains enumerated in the conference topics evolve with high velocity, new biotechnologes and biosystems become available. Their rapid integration in the real life becomes a challenge. Brain-computing, biocomputing, and computation biology and microbiology represent advanced methodologies and mechanisms in approaching and understanding the challenging behavior of life mechanisms. Using bio-ontologies, biosemantics and special processing concepts, progress was achieved in dealing with genomics, biopharmaceutical and molecular intelligence, in the biology and microbiology domains. The area brings a rich spectrum of informatics paradigms, such as epidemic models, pattern classification, graph theory, or stochastic models, to support special biocomputing applications in biomedical, genetics, molecular and cellular biology and microbiology. While progress is achieved with a high speed, challenges must be overcome for large-scale bio-subsystems, special genomics cases, bionanotechnologies, drugs, or microbial propagation and immunity. The conference had the following tracks: Microbiology Bioinformatics Bio-medical technologies The conference also featured the following symposium: • BIOCOMPUTATION 2015, The International Symposium on Big Data and BioComputation We take here the opportunity to warmly thank all the members of the BIOTECHNO 2015 technical program committee, as well as the numerous reviewers. The creation of such a high quality conference program would not have been possible without their involvement. We also kindly thank all the authors that dedicated much of their time and effort to contribute to BIOTECHNO 2015. We truly believe that, thanks to all these efforts, the final conference program consisted of top quality contributions. Also, this event could not have been a reality without the support of many individuals, organizations and sponsors. We also gratefully thank the members of the BIOTECHNO 2015 organizing committee for their help in handling the logistics and for their work that made this professional meeting a success. We hope BIOTECHNO 2015 was a successful international forum for the exchange of ideas and results between academia and industry and to promote further progress in the area of bioinformatics, biocomputational systems and biotechnologies. We also hope that Rome, Italy provided a pleasant environment during the conference and everyone saved some time to enjoy the historic beauty of the city.
Genes
BCKDK is an important key regulator of branched-chain ketoacid dehydrogenase complex activity by ... more BCKDK is an important key regulator of branched-chain ketoacid dehydrogenase complex activity by phosphorylating and so inactivating branched-chain ketoacid dehydrogenases, the rate-limiting enzyme of the branched-chain amino acid metabolism. We identified, by whole exome-sequencing analysis, the p.His162Gln variant of the BCKDK gene in a neonate, picked up by newborn screening, with a biochemical phenotype of a mild form of maple syrup urine disease (MSUD). The same biochemical and genetic picture was present in the father. Computational analysis of the mutation was performed to better understand its role. Extensive atomistic molecular dynamics simulations showed that the described mutation leads to a conformational change of the BCKDK protein, which reduces the effect of inhibitory binding bound to the protein itself, resulting in its increased activity with subsequent inactivation of BCKDC and increased plasmatic branched-chain amino acid levels. Our study describes the first evi...
Molecules, 2021
The translocator protein (TSPO) is a 18kDa transmembrane protein, ubiquitously present in human m... more The translocator protein (TSPO) is a 18kDa transmembrane protein, ubiquitously present in human mitochondria. It is overexpressed in tumor cells and at the sites of neuroinflammation, thus representing an important biomarker, as well as a promising drug target. In mammalian TSPO, there are cholesterol–binding motifs, as well as a binding cavity able to accommodate different chemical compounds. Given the lack of structural information for the human protein, we built a model of human (h) TSPO in the apo state and in complex with PK11195, a molecule routinely used in positron emission tomography (PET) for imaging of neuroinflammatory sites. To better understand the interactions of PK11195 and cholesterol with this pharmacologically relevant protein, we ran molecular dynamics simulations of the apo and holo proteins embedded in a model membrane. We found that: (i) PK11195 stabilizes hTSPO structural fold; (ii) PK11195 might enter in the binding site through transmembrane helices I and I...
Annals of Clinical and Translational Neurology
Objectives: Genetic variant classification is a challenge in rare adult-onset disorders as in SCA... more Objectives: Genetic variant classification is a challenge in rare adult-onset disorders as in SCA-PRKCG (prior spinocerebellar ataxia type 14) with mostly private conventional mutations and nonspecific phenotype. We here propose a refined approach for clinicogenetic diagnosis by including protein modeling and provide for confirmed SCA-PRKCG a comprehensive phenotype 774
System coordinates (gro files) and clustered trajectory frames (xtc files) from REST2 (replica ex... more System coordinates (gro files) and clustered trajectory frames (xtc files) from REST2 (replica exchange with solute tempering) molecular dynamics simulations of the mu-opioid receptor (MOR) embedded in a POPC membrane, surrounded by water and ions, in complex with the ligands BU72 (B72), morphine (MOP), naloxone benzoylhydrazone (NBH) and naloxone (NLX). gromacs-4.6.7 was used to perform the simulations.
Tracking the evolution of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) throug... more Tracking the evolution of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) through genomic surveillance programs is undoubtedly one of the key priorities in the current pandemic situation. Although the genome of SARS-CoV-2 acquires mutations at a slower rate compared with other RNA viruses, evolutionary pressures derived from the widespread circulation of SARS-CoV-2 in the human population have progressively favored the global emergence, though natural selection, of several variants of concern that carry multiple non-synonymous mutations in the spike glycoprotein. These are often placed in key sites within major antibody epitopes and may therefore confer resistance to neutralizing antibodies, leading to partial immune escape, or otherwise compensate infectivity deficits associated with other non-synonymous substitutions. As previously shown by other authors, several emerging variants carry recurrent deletion regions (RDRs) that display a partial overlap with antibody...
Human G protein-coupled receptors (hGPCRs) are the most frequent targets of FDA-approved drugs. S... more Human G protein-coupled receptors (hGPCRs) are the most frequent targets of FDA-approved drugs. Structural bioinformatics, along with molecular simulation, can support structure-based drug design targeting hGPCRs. In this context, several years ago, we developed a hybrid Molecular Mechanics (MM)/Coarse-Grained (CG) approach to predict ligand poses in low resolution hGPCR models. The approach was based on the GROMOS96 43A1 and PRODRG united-atom force fields for the MM part. Here, we present a new MM/CG implementation using instead the Amber 14SB and GAFF all-atom potentials for proteins and ligands, respectively. The new implementation outperforms the previous one, as shown by a variety of applications on models of hG-PCR/ligand complexes at different resolution, and it is also more user-friendly. Thus, it emerges as a useful tool to predict poses in low resolution models and provides insights into ligand binding similarly to all-atom molecular dynamics, albeit at a lower computational cost. 6
Journal of Molecular Modeling, 2020
We followed a comprehensive computational strategy to understand and eventually predict the struc... more We followed a comprehensive computational strategy to understand and eventually predict the structure-activity relationship of thirty-three 1,3-disubstituted imidazole [1,5-α] pyrazine derivatives described as ATP competitive inhibitors of the IGF-1 receptor related to Ewing sarcoma. The quantitative structure-activity relationship model showed that the inhibitory potency is correlated with the molar volume, a steric descriptor and the net charge calculated value on atom C1 (q1) and N4 (q4) of the pharmacophore, all of them appearing to give a positive contribution to the inhibitory activity. According to experimental and calculated values, the most potent compound would be 3-[4-(azetidin-2-ylmethyl) cyclohexyl]-1-[3-(benzyloxy) phenyl] imidazo [1,5-α]pyrazin-8-amine (compound 23). Docking was used to guess important residues involved in the ATP-competitive inhibitory activity. It was validated by 200 ns of molecular dynamics (MD) simulation using improved linear interaction energy (LIE) method. MD of previously preferred structures by docking shows that the most potent ligand could establish hydrogen bonds with the ATP-binding site of the receptor, and the Ser979 and Ser1059 residues contribute favourably to the binding stability of compound 23. MD simulation also gave arguments about the chemical structure of the compound 23 being able to fit in the ATPbinding pocket, expecting to remain stable into it during the entire simulation and allowing us to hint the significant contribution expected to be given by electrostatic and hydrophobic interactions to the ligand-receptor complex stability. This computational combined strategy here described could represent a useful and effective prime approach to guide the identification of tyrosine kinase inhibitors as new lead compounds.
International Journal of Molecular Sciences, 2020
Aceruloplasminemia is a rare autosomal recessive genetic disease characterized by mild microcytic... more Aceruloplasminemia is a rare autosomal recessive genetic disease characterized by mild microcytic anemia, diabetes, retinopathy, liver disease, and progressive neurological symptoms due to iron accumulation in pancreas, retina, liver, and brain. The disease is caused by mutations in the Ceruloplasmin (CP) gene that produce a strong reduction or absence of ceruloplasmin ferroxidase activity, leading to an impairment of iron metabolism. Most patients described so far are from Japan. Prompt diagnosis and therapy are crucial to prevent neurological complications since, once established, they are usually irreversible. Here, we describe the largest series of non-Japanese patients with aceruloplasminemia published so far, including 13 individuals from 11 families carrying 13 mutations in the CP gene (7 missense, 3 frameshifts, and 3 splicing mutations), 10 of which are novel. All missense mutations were studied by computational modeling. Clinical manifestations were heterogeneous, but anem...
Biochimie, 2016
In this work the dimerization process of the minor allelic form of human alanine glyoxylate amino... more In this work the dimerization process of the minor allelic form of human alanine glyoxylate aminotransferase, a pyridoxal 5'-phosphate enzyme, was investigated. Bioinformatic analyses followed by site-directed mutagenesis, size exclusion chromatography and catalytic activity experiments allowed us to identify Arg118, Phe238 and Phe240 as interfacial residues not essential for transaminase activity but important for dimer-monomer dissociation. The apo and the holo forms of the triple mutant R118A-Mi/F238S-Mi/F240S-Mi display a dimer-monomer equilibrium dissociation constant value at least ~260- and 31-fold larger, respectively, than the corresponding ones of AGT-Mi. In the presence of PLP, the apomonomer of the triple mutant undergoes a biphasic process: the fast phase represents the formation of an inactive PLP-bound monomer, while the slow phase depicts the monomer-monomer association that parallels the regain of transaminase activity. The latter events occur with a rate consta...
International journal of molecular sciences, Jan 28, 2016
It is well-established that plant hemoglobins (Hbs) are involved in nitric oxide (NO) metabolism ... more It is well-established that plant hemoglobins (Hbs) are involved in nitric oxide (NO) metabolism via NO dioxygenase and/or nitrite reductase activity. The ferrous-deoxy Arabidopsis Hb1 and Hb2 (AHb1 and AHb2) have been shown to reduce nitrite to NO under hypoxia. Here, to test the hypothesis that a six- to five-coordinate heme iron transition might mediate the control of the nitrite reduction rate, we examined distal pocket mutants of AHb1 and AHb2 for nitrite reductase activity, NO production and spectroscopic features. Absorption spectra of AHbs distal histidine mutants showed that AHb1 mutant (H69L) is a stable pentacoordinate high-spin species in both ferrous and ferric states, whereas heme iron in AHb2 mutant (H66L) is hexacoordinated low-spin with Lys69 as the sixth ligand. The bimolecular rate constants for nitrite reduction to NO were 13.3 ± 0.40, 7.3 ± 0.5, 10.6 ± 0.8 and 171.90 ± 9.00 M(-1)·s(-1) for AHb1, AHb2, AHb1 H69L and AHb2 H66L, respectively, at pH 7.4 and 25 °C. C...
Biology and Medicine, 2014
3 The abbreviations used are: VDE, violaxanthin de-epoxidase; VDE cd , VDE central domain; WT, wi... more 3 The abbreviations used are: VDE, violaxanthin de-epoxidase; VDE cd , VDE central domain; WT, wild type; HPLC, high performance liquid chromatography; MES, 4-morpholineethanesulfonic acid.
Journal of Biological Chemistry, 2010
3 The abbreviations used are: VDE, violaxanthin de-epoxidase; VDE cd , VDE central domain; WT, wi... more 3 The abbreviations used are: VDE, violaxanthin de-epoxidase; VDE cd , VDE central domain; WT, wild type; HPLC, high performance liquid chromatography; MES, 4-morpholineethanesulfonic acid.
Journal of Basic Microbiology, 2013
Burkholderia fungorum DBT1, first isolated from settling particulate matter of an oil refinery wa... more Burkholderia fungorum DBT1, first isolated from settling particulate matter of an oil refinery wastewater, is a bacterial strain which has been shown capable of utilizing several polycyclic aromatic hydrocarbons (PAHs) including dibenzothiophene (DBT). In particular, this microbe is able to efficiently degrade DBT through the Kodama pathway. Previous investigations have lead to the identification of six genes, on a total of eight, required for DBT degradation. In the present study, a combined experimental/computational approach was adopted to identify and in silico characterize the two missing genes, namely a ferredoxin reductase and a hydratase-aldolase. Thus, the finding of all enzymatic components of the Kodama pathway in B. fungorum DBT1 makes this bacterial strain amenable for possible exploitation in soil bioremediation protocols.
Bioinformatics
Motivation We present pyGOMoDo, a Python library to perform homology modeling and docking, specif... more Motivation We present pyGOMoDo, a Python library to perform homology modeling and docking, specifically designed for human GPCRs. pyGOMoDo is a python wrap-up of the updated functionalities of GOMoDo web server (https://molsim.sci.univr.it/gomodo). It was developed having in mind its usage through Jupyter notebooks, where users can create their own protocols of modeling and docking of GPCRs. In this article, we focus on the internal structure and general capabilities of pyGOMoDO and on how it can be useful for carrying out structural biology studies of GPCRs. Results The source code is freely available at https://github.com/rribeiro-sci/pygomodo under the Apache 2.0 license. Tutorial notebooks containing minimal working examples can be found at https://github.com/rribeiro-sci/pygomodo/tree/main/examples.
continued a series of events covering topics related to bioinformatics, biocomputational systems ... more continued a series of events covering topics related to bioinformatics, biocomputational systems and biotechnologies. Bioinformatics deals with the system-level study of complex interactions in biosystems providing a quantitative systemic approach to understand them and appropriate tool support and concepts to model them. Understanding and modeling biosystems requires simulation of biological behaviors and functions. Bioinformatics itself constitutes a vast area of research and specialization, as many classical domains such as databases, modeling, and regular expressions are used to represent, store, retrieve and process a huge volume of knowledge. There are aspects concerning biocomputation technologies, bioinformatics mechanisms dealing with chemoinformatics, bioimaging, and neuroinformatics. Biotechnology is defined as the industrial use of living organisms or biological techniques developed through basic research. Bio-oriented technologies became very popular in various research topics and industrial market segments. Current human mechanisms seem to offer significant ways for improving theories, algorithms, technologies, products and systems. The focus is driven by fundamentals in approaching and applying biotechnologies in terms of engineering methods, special electronics, and special materials and systems. Borrowing simplicity and performance from the real life, biodevices cover a large spectrum of areas, from sensors, chips, and biometry to computing. One of the chief domains is represented by the biomedical biotechnologies, from instrumentation to monitoring, from simple sensors to integrated systems, including image processing and visualization systems. As the state-of-the art in all the domains enumerated in the conference topics evolve with high velocity, new biotechnologes and biosystems become available. Their rapid integration in the real life becomes a challenge. Brain-computing, biocomputing, and computation biology and microbiology represent advanced methodologies and mechanisms in approaching and understanding the challenging behavior of life mechanisms. Using bio-ontologies, biosemantics and special processing concepts, progress was achieved in dealing with genomics, biopharmaceutical and molecular intelligence, in the biology and microbiology domains. The area brings a rich spectrum of informatics paradigms, such as epidemic models, pattern classification, graph theory, or stochastic models, to support special biocomputing applications in biomedical, genetics, molecular and cellular biology and microbiology. While progress is achieved with a high speed, challenges must be overcome for large-scale bio-subsystems, special genomics cases, bionanotechnologies, drugs, or microbial propagation and immunity. The conference had the following tracks: Microbiology Bioinformatics Bio-medical technologies The conference also featured the following symposium: • BIOCOMPUTATION 2015, The International Symposium on Big Data and BioComputation We take here the opportunity to warmly thank all the members of the BIOTECHNO 2015 technical program committee, as well as the numerous reviewers. The creation of such a high quality conference program would not have been possible without their involvement. We also kindly thank all the authors that dedicated much of their time and effort to contribute to BIOTECHNO 2015. We truly believe that, thanks to all these efforts, the final conference program consisted of top quality contributions. Also, this event could not have been a reality without the support of many individuals, organizations and sponsors. We also gratefully thank the members of the BIOTECHNO 2015 organizing committee for their help in handling the logistics and for their work that made this professional meeting a success. We hope BIOTECHNO 2015 was a successful international forum for the exchange of ideas and results between academia and industry and to promote further progress in the area of bioinformatics, biocomputational systems and biotechnologies. We also hope that Rome, Italy provided a pleasant environment during the conference and everyone saved some time to enjoy the historic beauty of the city.
Genes
BCKDK is an important key regulator of branched-chain ketoacid dehydrogenase complex activity by ... more BCKDK is an important key regulator of branched-chain ketoacid dehydrogenase complex activity by phosphorylating and so inactivating branched-chain ketoacid dehydrogenases, the rate-limiting enzyme of the branched-chain amino acid metabolism. We identified, by whole exome-sequencing analysis, the p.His162Gln variant of the BCKDK gene in a neonate, picked up by newborn screening, with a biochemical phenotype of a mild form of maple syrup urine disease (MSUD). The same biochemical and genetic picture was present in the father. Computational analysis of the mutation was performed to better understand its role. Extensive atomistic molecular dynamics simulations showed that the described mutation leads to a conformational change of the BCKDK protein, which reduces the effect of inhibitory binding bound to the protein itself, resulting in its increased activity with subsequent inactivation of BCKDC and increased plasmatic branched-chain amino acid levels. Our study describes the first evi...
Molecules, 2021
The translocator protein (TSPO) is a 18kDa transmembrane protein, ubiquitously present in human m... more The translocator protein (TSPO) is a 18kDa transmembrane protein, ubiquitously present in human mitochondria. It is overexpressed in tumor cells and at the sites of neuroinflammation, thus representing an important biomarker, as well as a promising drug target. In mammalian TSPO, there are cholesterol–binding motifs, as well as a binding cavity able to accommodate different chemical compounds. Given the lack of structural information for the human protein, we built a model of human (h) TSPO in the apo state and in complex with PK11195, a molecule routinely used in positron emission tomography (PET) for imaging of neuroinflammatory sites. To better understand the interactions of PK11195 and cholesterol with this pharmacologically relevant protein, we ran molecular dynamics simulations of the apo and holo proteins embedded in a model membrane. We found that: (i) PK11195 stabilizes hTSPO structural fold; (ii) PK11195 might enter in the binding site through transmembrane helices I and I...
Annals of Clinical and Translational Neurology
Objectives: Genetic variant classification is a challenge in rare adult-onset disorders as in SCA... more Objectives: Genetic variant classification is a challenge in rare adult-onset disorders as in SCA-PRKCG (prior spinocerebellar ataxia type 14) with mostly private conventional mutations and nonspecific phenotype. We here propose a refined approach for clinicogenetic diagnosis by including protein modeling and provide for confirmed SCA-PRKCG a comprehensive phenotype 774