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DIGITAL.CSIC
Lecture . 2018
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Algoritmos en bioinformática estructural

Authors: Contreras-Moreira, Bruno;

Algoritmos en bioinformática estructural

Abstract

Tras un breve repaso de conceptos bioquímicos, este material presenta y analiza unos cuantos algoritmos básicos para el estudio de la estructura molecular de proteínas y ácidos nucleicos. Al igual que en muchos libros de texto, iremos introduciendo problemas (y estrategias para resolverlos) desde el nivel de estructura primaria al nivel de estructura cuaternaria. A lo largo del curso encontraréis referencias a artículos que profundizan sobre aspectos particulares de cada tema, junto con ejemplos y ejercicios que a veces requieren de ciertos conocimientos de programación.

Documento actualizado periódicamente por el autor que se puede navegar en http://eead-csic-compbio.github.io/bioinformatica_estructural . Este curso creció como material didáctico de la Licenciatura en Ciencias Genómicas-UNAM desde 2008 hasta 2019. En 2022 lo actualicé para añadir el capítulo de AlphaFold. La última versión revisada (v2025) ha sido difundida en septiembre de 2025. Con License Creative Commons Attribution 4.0 International (CC by 4.0).

Fundación ARAID http://www.araid.es/

Country
Spain
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Keywords

python, bioinformática estructural, algoritmos, Algoritmos, structural bioinformatics, Bioinformática estructural, perl

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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