Machine‐learning scoring functions to improve structure‐based binding affinity prediction and virtual screening

QU Ain, A Aleksandrova, FD Roessler… - Wiley Interdisciplinary …, 2015 - Wiley Online Library
Docking tools to predict whether and how a small molecule binds to a target can be applied
if a structural model of such target is available. The reliability of docking depends, however …

Machine‐learning scoring functions for structure‐based virtual screening

H Li, KH Sze, G Lu, PJ Ballester - Wiley Interdisciplinary …, 2021 - Wiley Online Library
Molecular docking predicts whether and how small molecules bind to a macromolecular
target using a suitable 3D structure. Scoring functions for structure‐based virtual screening …

QSAR modeling: where have you been? Where are you going to?

A Cherkasov, EN Muratov, D Fourches… - Journal of medicinal …, 2014 - ACS Publications
Quantitative structure–activity relationship modeling is one of the major computational tools
employed in medicinal chemistry. However, throughout its entire history it has drawn both …

Identification of potential natural inhibitors of SARS-CoV2 main protease by molecular docking and simulation studies

S Gupta, AK Singh, PP Kushwaha… - Journal of …, 2021 - Taylor & Francis
Coronaviruses are contagious pathogens primarily responsible for respiratory and intestinal
infections. Research efforts to develop antiviral agents against coronavirus demonstrated …

[HTML][HTML] Identification of natural inhibitors against SARS-CoV-2 drugable targets using molecular docking, molecular dynamics simulation, and MM-PBSA approach

PP Kushwaha, AK Singh, T Bansal, A Yadav… - Frontiers in cellular …, 2021 - frontiersin.org
The present study explores the SARS-CoV-2 drugable target inhibition efficacy of
phytochemicals from Indian medicinal plants using molecular docking, molecular dynamics …

TargetHunter: An In Silico Target Identification Tool for Predicting Therapeutic Potential of Small Organic Molecules Based on Chemogenomic Database

L Wang, C Ma, P Wipf, H Liu, W Su, XQ Xie - The AAPS journal, 2013 - Springer
Target identification of the known bioactive compounds and novel synthetic analogs is a
very important research field in medicinal chemistry, biochemistry, and pharmacology. It is …

[HTML][HTML] In silico investigation and potential therapeutic approaches of natural products for COVID-19: Computer-aided drug design perspective

MM Rahman, MR Islam, S Akash, SA Mim… - Frontiers in Cellular …, 2022 - frontiersin.org
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a
substantial number of deaths around the world, making it a serious and pressing public …

Phytochemicals present in Indian ginseng possess potential to inhibit SARS-CoV-2 virulence: A molecular docking and MD simulation study

PP Kushwaha, AK Singh, KS Prajapati, M Shuaib… - Microbial …, 2021 - Elsevier
Coronaviruses are deadly and contagious pathogens that affects people in different ways.
Researchers have increased their efforts in the development of antiviral agents against …

[HTML][HTML] A review of SARS-CoV-2 drug repurposing: Databases and machine learning models

M Elkashlan, RM Ahmad, M Hajar, F Al Jasmi… - Frontiers in …, 2023 - frontiersin.org
The emergence of Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2)
posed a serious worldwide threat and emphasized the urgency to find efficient solutions to …

Pan Assay Interference Compounds (PAINS) and other promiscuous compounds in antifungal research: Miniperspective

M Pouliot, S Jeanmart - Journal of medicinal chemistry, 2016 - ACS Publications
Every week, articles disclosing new antifungal leads reported as promising starting points for
optimization projects are published. In many cases, the mechanism that accounts for their …