[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 …
the market, the application of computer-aided drug design has been recognized as a …
An overview of scoring functions used for protein–ligand interactions in molecular docking
J Li, A Fu, L Zhang - Interdisciplinary Sciences: Computational Life …, 2019 - Springer
Currently, molecular docking is becoming a key tool in drug discovery and molecular
modeling applications. The reliability of molecular docking depends on the accuracy of the …
modeling applications. The reliability of molecular docking depends on the accuracy of the …
Comparative assessment of scoring functions: the CASF-2016 update
In structure-based drug design, scoring functions are often employed to evaluate protein–
ligand interactions. A variety of scoring functions have been developed so far, and thus …
ligand interactions. A variety of scoring functions have been developed so far, and thus …
Molecular docking and structure-based drug design strategies
Pharmaceutical research has successfully incorporated a wealth of molecular modeling
methods, within a variety of drug discovery programs, to study complex biological and …
methods, within a variety of drug discovery programs, to study complex biological and …
[HTML][HTML] 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 …
knowledge of the three-dimensional structure of the target of interest in the design of new …
Beware of docking!
YC Chen - Trends in pharmacological sciences, 2015 - cell.com
Docking is now routine in virtual screening or lead optimization for drug screening and
design. The number of papers related to docking has dramatically increased over the past …
design. The number of papers related to docking has dramatically increased over the past …
Molecular docking in modern drug discovery: Principles and recent applications
A Sethi, K Joshi, K Sasikala… - Drug discovery and …, 2019 - books.google.com
The process of hunt of a lead molecule is a long and a tedious process and one is often
demoralized by the endless possibilities one has to search through. Fortunately …
demoralized by the endless possibilities one has to search through. Fortunately …
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 …
if a structural model of such target is available. The reliability of docking depends, however …
Extra precision glide: Docking and scoring incorporating a model of hydrophobic enclosure for protein− ligand complexes
RA Friesner, RB Murphy, MP Repasky… - Journal of medicinal …, 2006 - ACS Publications
A novel scoring function to estimate protein− ligand binding affinities has been developed
and implemented as the Glide 4.0 XP scoring function and docking protocol. In addition to …
and implemented as the Glide 4.0 XP scoring function and docking protocol. In addition to …
A machine learning approach to predicting protein–ligand binding affinity with applications to molecular docking
PJ Ballester, JBO Mitchell - Bioinformatics, 2010 - academic.oup.com
Motivation: Accurately predicting the binding affinities of large sets of diverse protein–ligand
complexes is an extremely challenging task. The scoring functions that attempt such …
complexes is an extremely challenging task. The scoring functions that attempt such …