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 …

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 …

Large-scale modeling of multispecies acute toxicity end points using consensus of multitask deep learning methods

S Jain, VB Siramshetty, VM Alves… - Journal of chemical …, 2021 - ACS Publications
Computational methods to predict molecular properties regarding safety and toxicology
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 …

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 …

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 …

Unified QSAR approach to antimicrobials. 4. Multi-target QSAR modeling and comparative multi-distance study of the giant components of antiviral drug–drug complex …

FJ Prado-Prado, OM de la Vega, E Uriarte… - Bioorganic & medicinal …, 2009 - Elsevier
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 …

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 …

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 …

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 …