Predictions of the ADMET properties of candidate drug molecules utilizing different QSAR/QSPR modelling approaches
M Tareq Hassan Khan - Current drug metabolism, 2010 - ingentaconnect.com
The integration of early ADMET (absorption, distribution, metabolism, excretion and toxicity)
profiling, or simply prediction, of'lead'molecules to speed-up the'lead'selection further for …
profiling, or simply prediction, of'lead'molecules to speed-up the'lead'selection further for …
Predicting antimicrobial drugs and targets with the MARCH-INSIDE approach
H González-Díaz, F Prado-Prado… - Current topics in …, 2008 - ingentaconnect.com
The method MARCH-INSIDE (MARkovian CHemicals IN SIlico DEsign) is a simple but
efficient computational approach to the study of Quantitative Structure-Activity Relationships …
efficient computational approach to the study of Quantitative Structure-Activity Relationships …
Large-scale modeling of multispecies acute toxicity end points using consensus of multitask deep learning methods
Computational methods to predict molecular properties regarding safety and toxicology
represent alternative approaches to expedite drug development, screen environmental …
represent alternative approaches to expedite drug development, screen environmental …
Unified QSAR approach to antimicrobials. Part 3: first multi-tasking QSAR model for input-coded prediction, structural back-projection, and complex networks …
FJ Prado-Prado, H González-Díaz… - Bioorganic & medicinal …, 2008 - Elsevier
Several pathogen parasite species show different susceptibilities to different antiparasite
drugs. Unfortunately, almost all structure-based methods are one-task or one-target …
drugs. Unfortunately, almost all structure-based methods are one-task or one-target …
Multi-target spectral moment QSAR versus ANN for antiparasitic drugs against different parasite species
FJ Prado-Prado, X García-Mera… - Bioorganic & medicinal …, 2010 - Elsevier
There are many of pathogen parasite species with different susceptibility profile to
antiparasitic drugs. Unfortunately, almost QSAR models predict the biological activity of …
antiparasitic drugs. Unfortunately, almost QSAR models predict the biological activity of …
Machine‐learning techniques applied to antibacterial drug discovery
JD Durrant, RE Amaro - Chemical biology & drug design, 2015 - Wiley Online Library
The emergence of drug‐resistant bacteria threatens to revert humanity back to the
preantibiotic era. Even now, multidrug‐resistant bacterial infections annually result in …
preantibiotic era. Even now, multidrug‐resistant bacterial infections annually result in …
Unified QSAR approach to antimicrobials. 4. Multi-target QSAR modeling and comparative multi-distance study of the giant components of antiviral drug–drug complex …
One limitation of almost all antiviral Quantitative Structure–Activity Relationships (QSAR)
models is that they predict the biological activity of drugs against only one species of virus …
models is that they predict the biological activity of drugs against only one species of virus …
Unified QSAR and network‐based computational chemistry approach to antimicrobials, part 1: Multispecies activity models for antifungals
H GonzÁlez‐DÍaz… - Journal of computational …, 2008 - Wiley Online Library
There are many pathogen microbial species with very different antimicrobial drugs
susceptibility. In this work, we selected pairs of antifungal drugs with similar/dissimilar …
susceptibility. In this work, we selected pairs of antifungal drugs with similar/dissimilar …
First multitarget chemo-bioinformatic model to enable the discovery of antibacterial peptides against multiple Gram-positive pathogens
A Speck-Planche, VV Kleandrova… - Journal of chemical …, 2016 - ACS Publications
Antimicrobial peptides (AMPs) have emerged as promising therapeutic alternatives to fight
against the diverse infections caused by different pathogenic microorganisms. In this …
against the diverse infections caused by different pathogenic microorganisms. In this …
Multitasking models for quantitative structure–biological effect relationships: current status and future perspectives to speed up drug discovery
A Speck-Planche, MNDS Cordeiro - Expert opinion on drug …, 2015 - Taylor & Francis
Introduction: Drug discovery is the process of designing new candidate medications for the
treatment of diseases. Over many years, drugs have been identified serendipitously …
treatment of diseases. Over many years, drugs have been identified serendipitously …