Multi_CycGT: A Deep Learning-Based Multimodal Model for Predicting the Membrane Permeability of Cyclic Peptides-Reference-Cited by-同舟云学术

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Multi_CycGT: A Deep Learning-Based Multimodal Model for Predicting the Membrane Permeability of Cyclic Peptides

Published:2024-01-25 Issue:3 Volume:67 Page:1888-1899
ISSN:0022-2623
Container-title:Journal of Medicinal Chemistry
language:en
Short-container-title:J. Med. Chem.

Author:

Cao Lujing¹^ORCID,Xu Zhenyu²,Shang Tianfeng²,Zhang Chengyun¹²,Wu Xinyi¹,Wu Yejian¹,Zhai Silong¹,Zhan Zhajun¹^ORCID,Duan Hongliang³^ORCID

Affiliation:

1. College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou 310014, P. R. China

2. AI Department, Shanghai Highslab Therapeutics, Inc., Shanghai 201203, China

3. Faculty of Applied Sciences, Macao Polytechnic University, Macao 999078, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jmedchem.3c01611

Reference37 articles.

1. Therapeutic peptides: Historical perspectives, current development trends, and future directions

2. Contemporary strategies for peptide macrocyclization

3. The exploration of macrocycles for drug discovery — an underexploited structural class

4. Peptide therapeutics: current status and future directions

5. Ligation Technologies for the Synthesis of Cyclic Peptides

Cited by 4 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. MuCoCP: a priori chemical knowledge-based multimodal contrastive learning pre-trained neural network for the prediction of cyclic peptide membrane penetration ability;Bioinformatics;2024-07-27

2. Predicting Peptide Permeability Across Diverse Barriers: A Systematic Investigation;Molecular Pharmaceutics;2024-07-20

3. Deep learning for advancing peptide drug development: Tools and methods in structure prediction and design;European Journal of Medicinal Chemistry;2024-03

4. Medium-sized peptides from microbial sources with potential for antibacterial drug development;Natural Product Reports;2024

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