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Capabilities of Approaches for Ab Initio Protein Structure Prediction

3 pagesPublished: February 16, 2023

Abstract

This paper presents a discussion of alternatives for protein structure prediction, showing the advantages and problems of recent alternatives based on deep learning and approaches based on energy optimization of protein solutions. A SARS-CoV-2 protein is included to exemplify the results.

Keyphrases: ab-initio, deep learning, Differential Evolution, Evolutionary Computation, protein structure prediction

In: Alvaro Leitao and Lucía Ramos (editors). Proceedings of V XoveTIC Conference. XoveTIC 2022, vol 14, pages 21--23

Links:
BibTeX entry
@inproceedings{XoveTIC2022:Capabilities_of_Approaches_for,
  author    = {Juan Luis Filgueiras and Jos\textbackslash{}'e Santos},
  title     = {Capabilities of Approaches for Ab Initio Protein Structure Prediction},
  booktitle = {Proceedings of V XoveTIC Conference. XoveTIC 2022},
  editor    = {Alvaro Leitao and Luc\textbackslash{}'ia Ramos},
  series    = {Kalpa Publications in Computing},
  volume    = {14},
  pages     = {21--23},
  year      = {2023},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2515-1762},
  url       = {https://easychair.org/publications/paper/1qdK},
  doi       = {10.29007/tpkp}}
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