Prince Dev Singh - Academia.edu (original) (raw)

Papers by Prince Dev Singh

SAMRIDDHI : A Journal of Physical Sciences, Engineering and Technology, Nov 5, 2018

Nowadays, progress in technology have made life simple by giving us higher levels of knowledge th... more Nowadays, progress in technology have made life simple by giving us higher levels of knowledge through the innovation of various devices. However, all technical invention harbours the potential of invisible threats to its users. One leading danger is theft of private information and data. As digital database get more prevailing, user's attempt to prevent their data with extremely encrypted Identity cards and passwords. However, the abuse and theft of these security measures are on the rise. Taking benefit of security fault in Identity cards result in the cards gets duplicated and get misused. This increasing conflict of the cyber safety has lead to the start of biometric security method. Defining the main variation between the methods of biometric system used to verify user identity will focus on the benefits and limitations of personal data security systems.

Elsevier eBooks, 2022

Abstract As we know that bioinformatics is recognized as the science of the 21st century and has ... more Abstract As we know that bioinformatics is recognized as the science of the 21st century and has tremendous potential for decoding complex biological systems via analysis and integration of multiomics data. It is a need of time to gain a deep understanding of the subject, methods, and applications for novel discovery. In the era of omics and advances of high-throughput sequencing technology, a huge amount of molecular data are frequently submitted in international data repositories by the group of scientists from all over the world, which needs expert bioinformatician and data scientist with strong theoretical and practical knowledge in the fields for their analysis. They will help in knowledge discovery and this information will also be utilized for the development of bioinformatics tools and improved the accuracy of available tools/software; besides, identified information will be documented for further use in the form of an electronic database. Therefore this chapter provides an in-depth knowledge of the bioinformatics concept, aim, needs, recent development, challenges, application, and future perspective.

Biochemistry and biophysics reports, Jul 1, 2022

Electronics, Sep 24, 2021

This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY

The Journal of Asian Studies, Feb 1, 1999

This volume investigates the problem of displacement and resettlement in the Narmada valley in al... more This volume investigates the problem of displacement and resettlement in the Narmada valley in all its aspects. Based on wide-ranging empirical evidence, it presents a telling picture of the resettlement situation and its political antecedents.

IEEE Communications Magazine

Chemical Biology & Drug Design

This review is focused on several machine learning approaches used in chemoinformatics. Machine l... more This review is focused on several machine learning approaches used in chemoinformatics. Machine learning approaches provide tools and algorithms to improve drug discovery. Many physicochemical properties of drugs like toxicity, absorption, drug‐drug interaction, carcinogenesis, and distribution have been effectively modeled by QSAR techniques. Machine learning is a subset of artificial intelligence, and this technique has shown tremendous potential in the field of drug discovery. Techniques discussed in this review are capable of modeling non‐linear datasets, as well as big data of increasing depth and complexity. Various machine learning‐based approaches are being used for drug target prediction, modeling the structure of drug target, binding site prediction, ligand‐based similarity searching, de novo designing of ligands with desired properties, developing scoring functions for molecular docking, building QSAR model for biological activity prediction, and prediction of pharmacokin...

The basic study of protein provides insight into their role in health and diseases. Protein–prote... more The basic study of protein provides insight into their role in health and diseases. Protein–protein interaction (PPI) networks are intrinsic to virtually every cellular process and of vital importance in systems biology. Besides the knowledge of protein three-dimensional structures, their dynamics and interaction profiles are important to completely understand the biochemical mechanisms at the molecular level and utilize it for the benefit of mankind. Protein–protein interactions can alter the kinetic properties of proteins, and this can be reflected in the form of crucial alteration in specificity to substrates, catalysis, or altered allosteric properties of the complex. Understanding of protein complex formation allows an analysis of molecular functions, and hence needed to redesign and produce tailor-made proteins suitable for desired work. In the last decades, a vast amount of PPI data was generated by high-throughput experimental methods. However, voluminous unexplored proteins...

The tourism is the largest service industry in India. Government figures show tourism contributes... more The tourism is the largest service industry in India. Government figures show tourism contributes 6.23 percent of GDP and accounts for 8.78 percent of jobs. Further more, it benefits in three ways to the India by making employment, foreign currency and infrastructure development. In this regard the present study represents the scenic beauty of Andaman & Nicobar Islands which would create a sense of dissatisfaction and the human mind would rebel against "the whole mass of the motley facts of life". The Andaman & Nicobar are a group of picturesque Islands, big and small, inhabited and uninhabited, a total of 572 islands, islets and rocks lying in the South Eastern Part of the Bay of Bengal. The significance plays as role of Tourism is essential in the economic development of a country. Tourism is the second largest foreign exchange earner in India. The tourism industry employs a large number of people, both skilled and unskilled. The study is an attempt with the objective an...

International Journal of Parallel Programming, 2021

An alleviation of patient wellness and safety, the pharmaceutical ecotechnology play crucial role... more An alleviation of patient wellness and safety, the pharmaceutical ecotechnology play crucial role by eliminating the threat of counterfeit drugs, medicines and drug adulteration. The numerous issue of supply chain such as production of inferior copy of branded product with label of the original brand name, the risk of putting wrong product into distribution, unauthorized distribution of branded product and lack of consistency across countries are now a days creating challenges for pharmaceutical manufacturers worldwide. The regulatory authorities of countries and pharmaceutical industries believe that serialization and product tracking could be the ultimate solution for these worldwide issues. Serialization system has the capacity to find out current and past locations of the product through entire supply chain. Hence, due to urgent necessity in today’s competitive environment, the implementation of this technology has found to be more effective to enhance counterfeit prevention, pi...

Asian Pacific Journal of Tropical Medicine, 2019

Tropical diseases such as malaria, tuberculosis, trypanosomiasis, and leishmaniasis, account for ... more Tropical diseases such as malaria, tuberculosis, trypanosomiasis, and leishmaniasis, account for a large number of deaths annually. Herbs are an excellent source of tropical medicines. Many advancements and discoveries have taken place in the field of drug discovery but still, a major population of tropical diseases relies on herbal traditional medicine. There are some challenges related to policy implementation, efficacy, resistance and toxicity of tropical medicines. There are many tropical diseases such as such as schistosomiasis, leishmaniasis, African sleeping sickness, filariasis and chagas disease which are neglected because very few pharmaceutical companies have shown their interest in developing therapeutics against these diseases of poor people. There are many benefits associated with herbal medicine such as the cost of production, patient tolerance, large scale availability, efficacy, safety, potency, recyclability, and environment friendly. A large number of natural extracts such as curcumin, artemisinin, morphine, reserpine, and hypericin, are in use for treatment of different tropical diseases for a long time. The current review is to discuss the overview of tropical medicinal herbs, its scope and limitations in the modern drug discovery process.

Network Modeling Analysis in Health Informatics and Bioinformatics, 2019

Turmeric, since in ancient Indian traditional medicinal system, has been implicated for its thera... more Turmeric, since in ancient Indian traditional medicinal system, has been implicated for its therapeutic and chemopreventive properties against a broad spectrum of diseases. Curcumin, the active polyphenol from turmeric, helps to obstruct the growth of many types of cancers at various stages which include prostrate, melanoma, breast, brain tumor, pancreatic, leukemia, etc. The initiation and recurrence of cancer have been attributed to few mutated cells in bulk of tumor called as cancer stem cells which have the capacity of self-renewal and differentiation. Glycogen synthase kinase-3 beta (GSK-3B) is a multifunctional serine/threonine protein kinase, originally found in mammals, an important component of diverse signaling pathways, dysregulation of which leads to affect the cancer stem cell properties. The nutritional-and phytochemical-based dietary interventions may complement current chemotherapy to prevent recurrence and relapse of cancer. The objective of present study is to investigate the effect of retinoic acid and curcumin-retinoic acid conjugates against GSK-3B protein. The in silico results indicate that molecule 3 (curcumin-retinoic acid conjugates) might be a potent inhibitor of GSK-3B and a novel future drug candidate for the treatment of cancer.

Network Modeling Analysis in Health Informatics and Bioinformatics, 2018

Curcumin, a golden yellow pigment present in the spice turmeric, has pleiotropic chemopreventive ... more Curcumin, a golden yellow pigment present in the spice turmeric, has pleiotropic chemopreventive and therapeutic active compound against many diseases including cancer. It has been reported that curcumin acts as a topoisomerase II inhibitor and it was found that even concentration of 50 µM of curcumin in vitro is active in a similar fashion as etoposide (antineoplastic agent). Topoisomerases (type I and type II) are enzymes that regulate the overwinding or underwinding of DNA by cutting the phosphate bond of one or two strands of DNA, respectively. Topoisomerase II was selected as target, since it affects both strands of DNA. The present in silico study about designing curcumin analogues as better inhibitors of topoisomerase visà-vis curcumin is based on ADME filtering and docking simulation using Schrödinger suite. The docking simulation result suggested that out of 1000 designed curcumin analogues using ligbuilder tool and curcumin as a lead, 293 screened analogues show good binding affinity at the active site of Human DNA topoisomerase II in comparison to known drug Salvicine. The top five analogues with best binding affinity was shown by ligand1_826, ligand1_758, ligand1_976, ligand1_956 and ligand1_827 with glide scores − 16.70, − 16.03, − 15.45, − 15.43 and − 15.09, respectively. Therefore it is possible that screened curcumin analogues can be used as lead molecules for screening of ligand database and future chemopreventive agents.

International Journal of Livestock Research, 2018

The averages of blood glucose, TC, TG, LDL, HDL and VLDL were 221.43±2.55, 119.26±1.89, 255.16±15... more The averages of blood glucose, TC, TG, LDL, HDL and VLDL were 221.43±2.55, 119.26±1.89, 255.16±15.52, 26.43±2.74, 42.45±1.50 and 44.83±5.58 mg/ dl respectively. The means of AST and ALT were 53.50±0.59 and 15.48±0.58 IU/L. The means of ACP and ALP were 4.05±0.51 and 27.22±0.45 µmole/min./mg protein. The means of TP, albumin and globulin were 5.18±0.51, 1.97±0.05 and 3.20±0.50 g/dl respectively. The mean of A: G ratio was 0.618±0.12. Activities of acid phosphatase (ACP) increased with the reduction of alkaline phosphate (ALP) activities at 32 weeks. The means of creatinine and uric acid were 0.168±0.12 and 4.16±0.53 mg/dl. Estimate of heritability and ranged from low to high in magnitude.

B65. EPIGENETIC REGULATION OF LUNG CELL FUNCTION, 2012

Network Modeling Analysis in Health Informatics and Bioinformatics, 2012

MicroRNAs (miRNA) are a class of non-coding RNA which inhibits the expression of a particular gen... more MicroRNAs (miRNA) are a class of non-coding RNA which inhibits the expression of a particular gene by the process of nucleotide-sequence-specific post-transcriptional gene silencing method. miRNAs are *21 nt long non-coding RNAs that are derived from larger hairpin RNA precursors. The short length of the miRNA sequences and relatively low conservation of pre-miRNA sequences restrict the conventional sequence-alignment-based methods of finding only relatively close homologs. On the other hand, it has been reported that miRNA genes are more conserved in the secondary structure of their precursor rather than in primary sequences. Therefore, secondary structural features should be fully exploited in the homologue search for new miRNA genes. In this study, an approach for identification and prediction of miRNA in viruses through artificial neural networks (ANN) has been proposed. This idea uses both sequential and structural features of pre-miRNA to train the ANN for identification of miRNA in new viral genomes. The designed ANN was found with an accuracy of 93.68 % for the training dataset and 55.55 % for the validation dataset. In case of HIV, this trained ANN identifies pre-miRNA which does not show sufficient homology to known pre-miRNA sequences, but are highly conserved in their structure. Finally, single miRNA of length 19 mer has been predicted targeting four genes namely NDUFS7, WNT3A, SUFU, and FOXK1 a strict threshold at score 19. The results indicate that this method can be used for identifying novel miRNAs in other viral genomes with considerable success. Keywords MicroRNA Á Pre-miRNA Á ANN Á HIV Á RNAFold Á MiRBASE Á Non-coding RNA Á Gene target 1 Introduction MicroRNAs (miRNA) are small regulatory RNAs, *21 nucleotides in length, processed from short stem-loop precursors that are encoded in genomes of metazoans and viruses. The genes of miRNA transcribe into primary miRNA which process to form pre-miRNA, having length *70 with stem loop structure with help of RNaseIII enzyme Drsoha in the animal cells. Later, Dicer which is a class of RNaseIII enzyme (Grishok et al. 2001; Hutvagner et al. 2001; Ketting et al. 2001) incises the pre-miRNAs to release the *21 nucleotides mature miRNAs (Lee et al. 2002, 2003). At the end, RNA-induced silencing complexes Electronic supplementary material The online version of this article (