A Surrogate-Assisted Genetic Algorithm Framework to Discover Peptides Against COVID-19 Virus-Reference-Cited by-同舟云学术

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A Surrogate-Assisted Genetic Algorithm Framework to Discover Peptides Against COVID-19 Virus

Published:2024-06-30 Issue: Volume:2 Page:1-8
ISSN:
Container-title:2024 IEEE Congress on Evolutionary Computation (CEC)
language:
Short-container-title:

Author:

Silva Elias A.D.¹,Palmeira Lucas S.²,Garcia-Júnior Marcelo A.³,Martins Luiz G.A.¹,Jin Yaochu⁴,Andrade Bruno S.⁵,Sabino-Silva Robinson⁵,Carneiro Murillo G.¹

Affiliation:

1. Federal University of Uberlândia,Faculty of Computing,Uberlândia,Brazil

2. Institute of Biological Sciences, Federal University of Minas Gerais,Belo Horizonte,Brazil

3. Institute of Biomedical Sciences, Federal University of Uberlândia,Department of Physiology,Uberlândia,Brazil

4. School of Engineering, Westlake University,Hangzhou,China

5. State University of Southwestern Bahia,Faculty of Biological Sciences,Jequié,Brazil

Funder

Coordination for the Improvement of Higher Education - CAPES

Minas Gerais Research Foundation - FAPEMIG

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609966/10611750/10611783.pdf?arnumber=10611783

Reference38 articles.

1. Antivirals Against Coronaviruses: Candidate Drugs for SARS-CoV-2 Treatment?

2. How an outbreak became a pandemic: a chronological analysis of crucial junctures and international obligations in the early months of the COVID-19 pandemic

3. Is SARS-CoV-2 Also an Enteric Pathogen With Potential Fecal–Oral Transmission? A COVID-19 Virological and Clinical Review

4. Antiviral peptides as promising therapeutic drugs

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