DrugSynthMC: An Atom-Based Generation of Drug-like Molecules with Monte Carlo Search-Reference-Cited by-同舟云学术

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DrugSynthMC: An Atom-Based Generation of Drug-like Molecules with Monte Carlo Search

Published:2024-09-09 Issue: Volume: Page:
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Roucairol Milo¹,Georgiou Alexios¹,Cazenave Tristan¹,Prischi Filippo²^ORCID,Pardo Olivier E.³^ORCID

Affiliation:

1. LAMSADE, Université Paris-Dauphine, Pl. du Maréchal de Lattre de Tassigny, 75016 Paris, France

2. Randall Centre for Cell and Molecular Biophysics, School of Basic and Medical Biosciences, King’s College London, London SE1 1UL, United Kingdom

3. Division of Cancer, Department of Surgery and Cancer, Imperial College, Du Cane Road, London W12 0NN, United Kingdom

Funder

Agence Nationale de la Recherche

Imperial Experimental Cancer Medicine Centre

NIHR Imperial Biomedical Research Centre

Cancer Research UK

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.4c01451

Reference82 articles.

1. Cyclic peptide drugs approved in the last two decades (2001–2021)

2. Artificial Intelligence for Drug Discovery, Biomarker Development, and Generation of Novel Chemistry

3. Bridging Molecular Docking to Molecular Dynamics in Exploring Ligand-Protein Recognition Process: An Overview

4. Challenges, Applications, and Recent Advances of Protein-Ligand Docking in Structure-Based Drug Design

5. Improvements, trends, and new ideas in molecular docking: 2012-2013 in review

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