An overview of severe acute respiratory syndrome–coronavirus (SARS-CoV) 3CL protease inhibitors: peptidomimetics and small molecule chemotherapy

T Pillaiyar, M Manickam, V Namasivayam… - Journal of medicinal …, 2016 - ACS Publications
Severe acute respiratory syndrome (SARS) is caused by a newly emerged coronavirus that
infected more than 8000 individuals and resulted in more than 800 (10–15%) fatalities in …

Structure-based virtual screening for drug discovery: principles, applications and recent advances

E Lionta, G Spyrou, DK Vassilatis… - Current topics in …, 2014 - ingentaconnect.com
Structure-based drug discovery (SBDD) is becoming an essential tool in assisting fast and
cost-efficient lead discovery and optimization. The application of rational, structure-based …

Improving scoring‐docking‐screening powers of protein–ligand scoring functions using random forest

C Wang, Y Zhang - Journal of computational chemistry, 2017 - Wiley Online Library
The development of new protein–ligand scoring functions using machine learning
algorithms, such as random forest, has been of significant interest. By efficiently utilizing …

Concepts and applications of chemical fingerprint for hit and lead screening

J Yang, Y Cai, K Zhao, H Xie, X Chen - Drug Discovery Today, 2022 - Elsevier
Highlights•Providing concepts and generation processes of chemical fingerprints.•
Comparing the algorithms and characteristics among different types of fingerprints.• …

Docking techniques in pharmacology: How much promising?

M Gupta, R Sharma, A Kumar - Computational biology and chemistry, 2018 - Elsevier
Docking techniques in pharmacology: How much promising? - ScienceDirect Skip to main
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Recognizing pitfalls in virtual screening: a critical review

T Scior, A Bender, G Tresadern… - Journal of chemical …, 2012 - ACS Publications
The aim of virtual screening (VS) is to identify bioactive compounds through computational
means, by employing knowledge about the protein target (structure-based VS) or known …

Use of machine learning approaches for novel drug discovery

AN Lima, EA Philot, GHG Trossini… - Expert opinion on …, 2016 - Taylor & Francis
abstract Introduction: The use of computational tools in the early stages of drug development
has increased in recent decades. Machine learning (ML) approaches have been of special …

Virtual screening: an endless staircase?

G Schneider - Nature Reviews Drug Discovery, 2010 - nature.com
Computational chemistry—in particular, virtual screening—can provide valuable
contributions in hit-and lead-compound discovery. Numerous software tools have been …

Hit identification and optimization in virtual screening: Practical recommendations based on a critical literature analysis: Miniperspective

T Zhu, S Cao, PC Su, R Patel, D Shah… - Journal of medicinal …, 2013 - ACS Publications
A critical analysis of virtual screening results published between 2007 and 2011 was
performed. The activity of reported hit compounds from over 400 studies was compared to …

Molecular docking: principles, advances, and its applications in drug discovery

MT Muhammed, E Aki-Yalcin - Letters in Drug Design & …, 2024 - ingentaconnect.com
Molecular docking is a structure-based computational method that generates the binding
pose and affinity between ligands and targets. There are many powerful docking programs …