Prediction of drug transfer into human milk from theoretically derived descriptors (original) (raw)
Molecular descriptors that influence the amount of drugs transfer into human breast milk
R Alany
Journal of Pharmaceutical and Biomedical Analysis, 2002
View PDFchevron_right
Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research
Mahesh Deshmukh
Journal of pharmaceutical and …, 2000
View PDFchevron_right
ARTIFICIAL NEURAL NETWORKS: FUNCTIONINGANDAPPLICATIONS IN PHARMACEUTICAL INDUSTRY Review Article
International Journal of Applied Pharmaceutics (IJAP), ANKITH M.
International Journal of Applied Pharmaceutics, 2018
View PDFchevron_right
Prediction of Human Intestinal Absorption of Drug Compounds from Molecular Structure
Matthew Wessel
Journal of Chemical Information and Modeling, 1998
View PDFchevron_right
Review of machine learning algorithms' application in pharmaceutical technology
Ivana Kurcubic
Arhiv za farmaciju, 2021
View PDFchevron_right
Artificial Neural Network in Drug Delivery and Pharmaceutical Research
yashwant pathak
The Open Bioinformatics Journal, 2013
View PDFchevron_right
Artificial Neural Network In Pharmaceutical And Cosmeceutical Research
International Journal of Pharmaceutical Sciences
INTERNATIONAL JOURNAL OF PHARMACEUTICAL SCIENCES, 2024
View PDFchevron_right
Artificial Neural Network (Ann) and Its Applications in the Field of Pharmacy with a Special Focus on Pharmaceutical Product Development: A Recent Review
Shivam Bhadauria
Journal of Advanced Scientific Research
View PDFchevron_right
Prediction of aqueous solubility of drug-like molecules using a novel algorithm for automatic adjustment of relative importance of descriptors implemented in counter-propagation artificial neural networks
S eri
International journal of pharmaceutics, 2012
View PDFchevron_right
From Heuristic to Mathematical Modeling of Drugs Dissolution Profiles: Application of Artificial Neural Networks and Genetic Programming
Barbara Wiśniowska
Computational and Mathematical Methods in Medicine, 2015
View PDFchevron_right
ARTIFICIAL INTELLIGENCE IN PHARMACEUTICAL INDUSTRY: A REVIEW
Swapna Goday, Editor iajps
View PDFchevron_right
A classification scheme for the prediction of essential chemical and biological properties based on the classical neural network approach
Markus Borschbach
View PDFchevron_right
Comparison of statistical methods for predicting penetration capacity of drugs into human breast milk using physicochemical, pharmacokinetic and chromatographic descriptors
D Turgay Altilar
SAR and QSAR in Environmental Research, 2020
View PDFchevron_right
Application of Artificial Neural Networks to Predict the Intrinsic Solubility of Drug-Like Molecules
ELENA MARIA TOSCA
Pharmaceutics
View PDFchevron_right
Prediction of Drug Lipophilicity using Back Propagation Artificial Neural Network Modeling
saadi saaidpour
Oriental Journal of Chemistry, 2014
View PDFchevron_right
Genetic algorithm optimization in drug design QSAR: Bayesian-regularized genetic neural networks (BRGNN) and genetic algorithm-optimized support vectors machines (GA-SVM)
Julio Caballero
Molecular Diversity, 2011
View PDFchevron_right
Using Neural Models for Evaluation of Biological Activity of Selected Chemical Compounds
Ryszard Tadeusiewicz
Applications of Computational Intelligence in Biology, Current Trends and Open Problems, 2008
View PDFchevron_right
Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design
Amol Gholap
Pharmaceutics
View PDFchevron_right
Investigating the Use of Machine Learning Models to Understand the Drugs Permeability Across Placenta
Annalisa Terranegra
IEEE Access, 2023
View PDFchevron_right
Artificial intelligence in drug design
Mingyue Zheng
Science China. Life sciences, 2018
View PDFchevron_right
Genetic programming for human oral bioavailability of drugs
Enza Messina, Francesco Archetti
2006
View PDFchevron_right
Prediction of Aqueous Solubility of Drug-Like Compounds by Using an Artificial Neural Network and Least-Squares Support Vector Machine
Mehdi Ghorbanzadeh
Bulletin of the Chemical Society of Japan, 2010
View PDFchevron_right
Prediction of Melting Point for Drug-like Compounds Using Principal Component-Genetic Algorithm-Artificial Neural Network
Aziz Habibi-Yangjeh
Bulletin of the Korean Chemical Society
View PDFchevron_right
A renaissance of neural networks in drug discovery
Igor Baskin
Expert opinion on drug discovery, 2016
View PDFchevron_right
Using Artificial Neural Networks To Classify the Activity of Capsaicin and Its Analogues
Des J Maddalena
Journal of Chemical Information and Modeling, 1997
View PDFchevron_right
Neural Networks as Robust Tools in Drug Lead Discovery and Development
Dave Winkler
Molecular Biotechnology, 2004
View PDFchevron_right
Machine learning algorithms used in Quantitative structure-activity relationships studies as new approaches in drug discovery
Hamid Toufik
2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS), 2019
View PDFchevron_right
A machine learning model for the prediction of drug permeability across the Blood-Brain Barrier: a comparative approach
Sandy Rihana
2020
View PDFchevron_right
Neural network based optimization of drug formulations
Devendra Singh
Advanced drug delivery …, 2003
View PDFchevron_right
Approach to Chemometrics Models by Artificial Neural Network for Structure: First Applications for Estimation Retention Time of Doping Agent
mehrdad shahpar
2017
View PDFchevron_right
Artificial Neural Network--Based Analysis of High-Throughput Screening Data for Improved Prediction of Active Compounds
Stan Svojanovsky
Journal of Biomolecular Screening, 2009
View PDFchevron_right
Role of the Computational Intelligence in Drugs Discovery and Design: Introduction, Techniques and Software
G Sahoo
International Journal of Computer Applications, 2012
View PDFchevron_right