Structure-based protein–ligand interaction fingerprints for binding affinity prediction-Reference-Cited by-同舟云学术

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Structure-based protein–ligand interaction fingerprints for binding affinity prediction

Published:2021 Issue: Volume:19 Page:6291-6300
ISSN:2001-0370
Container-title:Computational and Structural Biotechnology Journal
language:en
Short-container-title:Computational and Structural Biotechnology Journal

Author:

Wang Debby D.,Chan Moon-Tong,Yan Hong

Funder

Research Grants Council, University Grants Committee

Innovation and Technology Commission - Hong Kong

Publisher

Elsevier BV

Subject

Computer Science Applications,Genetics,Biochemistry,Structural Biology,Biophysics,Biotechnology

Reference66 articles.

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3. Maurizio Pellecchia, Ivano Bertini, David Cowburn, Claudio Dalvit, Ernest Giralt, Wolfgang Jahnke, Thomas L James, Steve W Homans, Horst Kessler, Claudio Luchinat, et al. Perspectives on nmr in drug discovery: a technique comes of age. Nature reviews Drug discovery, 7(9):738–745, 2008.

4. A real-world perspective on molecular design: miniperspective;Kuhn;J Med Chem,2016

5. Jerome De Ruyck, Guillaume Brysbaert, Ralf Blossey, and Marc F Lensink. Molecular docking as a popular tool in drug design, an in silico travel. Advances and applications in bioinformatics and chemistry: AABC, 9:1, 2016.

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1. Bridging Structure- and Ligand-Based Virtual Screening through Fragmented Interaction Fingerprint;ACS Omega;2024-09-03

2. Binding Affinity Prediction with 3D Machine Learning: Training Data and Challenging External Testing;2024-03-05

3. Neural multi-task learning in drug design;Nature Machine Intelligence;2024-02-20

4. Toward generalizable structure‐based deep learning models for protein–ligand interaction prediction: Challenges and strategies;WIREs Computational Molecular Science;2024-01

5. Antibody mimetics: The next generation antibody engineering, a retrospective and prospective analysis;Biotechnology Journal;2023-12-21

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