Capabilities of Approaches for Ab Initio Protein Structure Prediction

3 pages•Published: 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:	https://easychair.org/publications/paper/1qdK
	https://doi.org/10.29007/tpkp

BibTeX entry

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

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