Analysis, Modeling, and Target-Specific Predictions of Linear Peptides Inhibiting Virus Entry-Reference-Cited by-同舟云学术

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Analysis, Modeling, and Target-Specific Predictions of Linear Peptides Inhibiting Virus Entry

Published:2023-11-22 Issue:48 Volume:8 Page:46218-46226
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Vishnepolsky Boris¹^ORCID,Grigolava Maya¹,Gabrielian Andrei²,Rosenthal Alex²,Hurt Darrell²,Tartakovsky Michael²,Pirtskhalava Malak¹

Affiliation:

1. Ivane Beritashvili Center of Experimental Biomedicine, Tbilisi 0160, Georgia

2. Office of Cyber Infrastructure and Computational Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland 20892-6612, United States

Funder

International Science and Technology Center

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.3c07521

Reference84 articles.

1. Antiviral Peptides: Identification and Validation

2. The Potential of Antiviral Peptides as COVID-19 Therapeutics

3. Antiviral peptides as promising therapeutic drugs

4. Handcrafted versus non-handcrafted (self-supervised) features for the classification of antimicrobial peptides: complementary or redundant?

5. Do deep learning models make a difference in the identification of antimicrobial peptides?

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1. Bioactive Peptides Derived from Whey Proteins for Health and Functional Beverages;Fermentation;2024-07-16

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