Testing machine learning techniques for general application by using protein secondary structure prediction. A brief survey with studies of pitfalls and benefits using a simple progressive learning approach-Reference-Cited by-同舟云学术

Testing machine learning techniques for general application by using protein secondary structure prediction. A brief survey with studies of pitfalls and benefits using a simple progressive learning approach

Published:2021-11 Issue: Volume:138 Page:104883
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Robson Barry

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference65 articles.

1. Introduction to Proteins and Protein Engineering;Robson,1986

2. B. Robson, and J. Garnier,) "Protein structure prediction", Nature 361, 506.

3. Computers and viral diseases. Preliminary bioinformatics studies on the design of a synthetic vaccine and a preventative peptidomimetic antagonist against the SARS-CoV-2 (2019-nCoV, COVID-19) coronavirus;Robson;Comput. Biol. Med.,2020

4. COVID-19 coronavirus spike protein analysis for synthetic vaccines, a peptidomimetic antagonist, and therapeutic drugs, and analysis of a proposed achilles' heel conserved region to minimize probability of escape mutations and drug resistance;Robson;Comput. Biol. Med.,2020

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