Machine Learning for Sequence and Structure-Based Protein–Ligand Interaction Prediction-Reference-Cited by-同舟云学术

Machine Learning for Sequence and Structure-Based Protein–Ligand Interaction Prediction

Published:2024-02-22 Issue:5 Volume:64 Page:1456-1472
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Zhang Yunjiang¹,Li Shuyuan¹,Meng Kong¹,Sun Shaorui¹^ORCID

Affiliation:

1. Beijing Key Laboratory for Green Catalysis and Separation, The Faculty of Environment and Life, Beijing University of Technology, Beijing 100124, P. R. China

Funder

National Key Research and Development Program of China

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.3c01841

Reference200 articles.

1. Insights into Protein–Ligand Interactions: Mechanisms, Models, and Methods

2. Drug–target interaction prediction: databases, web servers and computational models

3. Drug-target and disease networks: polypharmacology in the post-genomic era

4. Machine‐learning scoring functions for structure‐based drug lead optimization

5. Artificial intelligence in the prediction of protein–ligand interactions: recent advances and future directions

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Structure-independent machine-learning predictions of the CDK12 interactome;Biophysical Journal;2024-09

2. Multimodal Protein-Ligand Contrastive Pretraining for Effective and Efficient Drug Discovery;2024-08-22

3. A Multibranch Neural Network for Drug-Target Affinity Prediction Using Similarity Information;ACS Omega;2024-08-12

4. Predicting binding events in very flexible, allosteric, multi-domain proteins;2024-06-03

5. Computational Tools for Structural Analysis of Proteins;Reference Module in Life Sciences;2024