Current trends in computer aided drug design and a highlight of drugs discovered via computational techniques: A review

VT Sabe, T Ntombela, LA Jhamba… - European Journal of …, 2021 - Elsevier
Computer-aided drug design (CADD) is one of the pivotal approaches to contemporary pre-
clinical drug discovery, and various computational techniques and software programs are …

Artificial intelligence and machine learning technology driven modern drug discovery and development

C Sarkar, B Das, VS Rawat, JB Wahlang… - International Journal of …, 2023 - mdpi.com
The discovery and advances of medicines may be considered as the ultimate relevant
translational science effort that adds to human invulnerability and happiness. But advancing …

Improving protein–ligand docking and screening accuracies by incorporating a scoring function correction term

L Zheng, J Meng, K Jiang, H Lan, Z Wang… - Briefings in …, 2022 - academic.oup.com
Scoring functions are important components in molecular docking for structure-based drug
discovery. Traditional scoring functions, generally empirical-or force field-based, are robust …

Highly flexible ligand docking: Benchmarking of the DockThor program on the LEADS-PEP protein–peptide data set

KB Santos, IA Guedes, ALM Karl… - Journal of Chemical …, 2020 - ACS Publications
Protein–peptide interactions play a crucial role in many cellular and biological functions,
which justify the increasing interest in the development of peptide-based drugs. However …

Hidden bias in the DUD-E dataset leads to misleading performance of deep learning in structure-based virtual screening

L Chen, A Cruz, S Ramsey, CJ Dickson, JS Duca… - PloS one, 2019 - journals.plos.org
Recently much effort has been invested in using convolutional neural network (CNN)
models trained on 3D structural images of protein-ligand complexes to distinguish binding …

Artificial intelligence in drug design

F Zhong, J Xing, X Li, X Liu, Z Fu, Z Xiong, D Lu… - Science China Life …, 2018 - Springer
Thanks to the fast improvement of the computing power and the rapid development of the
computational chemistry and biology, the computer-aided drug design techniques have …

Characterization of the binding of MRTX1133 as an avenue for the discovery of potential KRASG12D inhibitors for cancer therapy

AR Issahaku, N Mukelabai, C Agoni, M Rudrapal… - Scientific Reports, 2022 - nature.com
The Kirsten rat sarcoma (KRAS) oncoprotein has been on drug hunters list for decades now.
Initially considered undruggable, recent advances have successfully broken the jinx through …

Mode of action uncovered for the specific reduction of methane emissions from ruminants by the small molecule 3-nitrooxypropanol

EC Duin, T Wagner, S Shima… - Proceedings of the …, 2016 - National Acad Sciences
Ruminants, such as cows, sheep, and goats, predominantly ferment in their rumen plant
material to acetate, propionate, butyrate, CO2, and methane. Whereas the short fatty acids …

Structure-based drug screening for G-protein-coupled receptors

BK Shoichet, BK Kobilka - Trends in pharmacological sciences, 2012 - cell.com
G-protein-coupled receptors (GPCRs) represent a large family of signaling proteins that
includes many therapeutic targets; however, progress in identifying new small molecule …

Virtual screening and molecular dynamics simulation study of plant-derived compounds to identify potential inhibitors of main protease from SARS-CoV-2

S Mahmud, MAR Uddin, GK Paul… - Briefings in …, 2021 - academic.oup.com
The new coronavirus (SARS-CoV-2) halts the world economy and caused unbearable
medical emergency due to high transmission rate and also no effective vaccine and drugs …