Prediction of HIV Drug Resistance by Combining Sequence and Structural Properties-Reference-Cited by-同舟云学术

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Prediction of HIV Drug Resistance by Combining Sequence and Structural Properties

Published:2018-05-01 Issue:3 Volume:15 Page:966-973
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Khalid Zoya^ORCID,Sezerman Osman Ugur

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/8371203/07782418.pdf?arnumber=7782418

Cited by 15 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. Effectively Identifying Compound-Protein Interaction Using Graph Neural Representation;IEEE/ACM Transactions on Computational Biology and Bioinformatics;2023-03-01

2. Assessment of a Computational Approach to Predict Drug Resistance Mutations for HIV, HBV and SARS-CoV-2;Molecules;2022-08-24

3. HIV-1 drug resistance profiling using amino acid sequence space cartography;Bioinformatics;2022-02-14

4. Machine Learning in Discovery of New Antivirals and Optimization of Viral Infections Therapy;Current Medicinal Chemistry;2021-12-08

5. Artificial intelligence and machine learning assisted drug delivery for effective treatment of infectious diseases;Advanced Drug Delivery Reviews;2021-11

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