Molecular docking: shifting paradigms in drug discovery

L Pinzi, G Rastelli - International journal of molecular sciences, 2019 - mdpi.com
Molecular docking is an established in silico structure-based method widely used in drug
discovery. Docking enables the identification of novel compounds of therapeutic interest …

A practical guide to machine-learning scoring for structure-based virtual screening

VK Tran-Nguyen, M Junaid, S Simeon, PJ Ballester - Nature Protocols, 2023 - nature.com
Abstract Structure-based virtual screening (SBVS) via docking has been used to discover
active molecules for a range of therapeutic targets. Chemical and protein data sets that …

Protein structure-based drug design: from docking to molecular dynamics

P Śledź, A Caflisch - Current opinion in structural biology, 2018 - Elsevier
Highlights•High-throughput docking of small molecules is very successful in hit identification,
particularly for screening mainly rigid fragments.•Classical force fields with implicit solvent …

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 …

Advances in molecular dynamics simulations and enhanced sampling methods for the study of protein systems

R Lazim, D Suh, S Choi - International journal of molecular sciences, 2020 - mdpi.com
Molecular dynamics (MD) simulation is a rigorous theoretical tool that when used efficiently
could provide reliable answers to questions pertaining to the structure-function relationship …

Niosomes: a novel targeted drug delivery system for cancer

M Moghtaderi, K Sedaghatnia, M Bourbour… - Medical Oncology, 2022 - Springer
Recently, nanotechnology is involved in various fields of science, of which medicine is one
of the most obvious. The use of nanoparticles in the process of treating and diagnosing …

Discovery of cryptic allosteric sites using reversed allosteric communication by a combined computational and experimental strategy

D Ni, J Wei, X He, AU Rehman, X Li, Y Qiu, J Pu… - Chemical …, 2021 - pubs.rsc.org
Allostery, which is one of the most direct and efficient methods to fine-tune protein functions,
has gained increasing recognition in drug discovery. However, there are several challenges …

Predicting the locations of cryptic pockets from single protein structures using the PocketMiner graph neural network

A Meller, MD Ward, JH Borowsky, JM Lotthammer… - Biophysical journal, 2023 - cell.com
Cryptic pockets expand the scope of drug discovery by enabling targeting of proteins
currently considered undruggable because they lack pockets in their ground state structures …

Investigating cryptic binding sites by molecular dynamics simulations

A Kuzmanic, GR Bowman… - Accounts of chemical …, 2020 - ACS Publications
Conspectus This Account highlights recent advances and discusses major challenges in
investigations of cryptic (hidden) binding sites by molecular simulations. Cryptic binding …

Drug specificity and affinity are encoded in the probability of cryptic pocket opening in myosin motor domains

A Meller, JM Lotthammer, LG Smith, B Novak, LA Lee… - Elife, 2023 - elifesciences.org
The design of compounds that can discriminate between closely related target proteins
remains a central challenge in drug discovery. Specific therapeutics targeting the highly …