Integrating QSAR modelling and deep learning in drug discovery: the emergence of deep QSAR

A Tropsha, O Isayev, A Varnek, G Schneider… - Nature Reviews Drug …, 2024 - nature.com
Quantitative structure–activity relationship (QSAR) modelling, an approach that was
introduced 60 years ago, is widely used in computer-aided drug design. In recent years …

Use of molecular docking computational tools in drug discovery

F Stanzione, I Giangreco, JC Cole - Progress in medicinal chemistry, 2021 - Elsevier
Molecular docking has become an important component of the drug discovery process.
Since first being developed in the 1980s, advancements in the power of computer hardware …

[HTML][HTML] Molecular modeling in drug discovery

TI Adelusi, AQK Oyedele, ID Boyenle… - Informatics in Medicine …, 2022 - Elsevier
With the financial requirements and high time associated with bringing a commercial drug to
the market, the application of computer-aided drug design has been recognized as a …

Key topics in molecular docking for drug design

PHM Torres, ACR Sodero, P Jofily… - International journal of …, 2019 - mdpi.com
Molecular docking has been widely employed as a fast and inexpensive technique in the
past decades, both in academic and industrial settings. Although this discipline has now had …

Bridging molecular docking to molecular dynamics in exploring ligand-protein recognition process: An overview

V Salmaso, S Moro - Frontiers in pharmacology, 2018 - frontiersin.org
Computational techniques have been applied in the drug discovery pipeline since the
1980s. Given the low computational resources of the time, the first molecular modeling …

Insights into protein–ligand interactions: mechanisms, models, and methods

X Du, Y Li, YL Xia, SM Ai, J Liang, P Sang… - International journal of …, 2016 - mdpi.com
Molecular recognition, which is the process of biological macromolecules interacting with
each other or various small molecules with a high specificity and affinity to form a specific …

Molecular docking and structure-based drug design strategies

LG Ferreira, RN Dos Santos, G Oliva, AD Andricopulo - Molecules, 2015 - mdpi.com
Pharmaceutical research has successfully incorporated a wealth of molecular modeling
methods, within a variety of drug discovery programs, to study complex biological and …

[HTML][HTML] Computational methods in drug discovery

SP Leelananda, S Lindert - Beilstein journal of organic …, 2016 - beilstein-journals.org
The process for drug discovery and development is challenging, time consuming and
expensive. Computer-aided drug discovery (CADD) tools can act as a virtual shortcut …

Protein–ligand docking in the machine-learning era

C Yang, EA Chen, Y Zhang - Molecules, 2022 - mdpi.com
Molecular docking plays a significant role in early-stage drug discovery, from structure-
based virtual screening (VS) to hit-to-lead optimization, and its capability and predictive …

Empirical scoring functions for structure-based virtual screening: applications, critical aspects, and challenges

IA Guedes, FSS Pereira, LE Dardenne - Frontiers in pharmacology, 2018 - frontiersin.org
Structure-based virtual screening (VS) is a widely used approach that employs the
knowledge of the three-dimensional structure of the target of interest in the design of new …