Rosetta design with co-evolutionary information retains protein function
نویسندگان
چکیده
منابع مشابه
Incorporation of evolutionary information into Rosetta comparative modeling.
Prediction of protein structures from sequences is a fundamental problem in computational biology. Algorithms that attempt to predict a structure from sequence primarily use two sources of information. The first source is physical in nature: proteins fold into their lowest energy state. Given an energy function that describes the interactions governing folding, a method for constructing models ...
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The prediction of protein-protein interaction (PPI) with genomic information is an important issue of bioinformatics. Mirror tree is a method to predict PPIs by evaluating the similarity of the phylogenetic trees or distance matrices [1]. In this method, the intensity of the co-evolution between a pair of proteins is evaluated by Pearson's correlation coefficient between a pair of distance matr...
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The development of computational prediction method for protein-protein interaction (PPI) using the genomic information is an important issue in bioinformatics. Mirror tree was recently proposed as a method to predict PPIs from the similarity of the phylogenetic tree or distance matrices [1]. In this method, the intensity of the co-evolution between a pair of proteins is evaluated by Pearson’s c...
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© 2012 Martínez-Castilla and Rodríguez-Sotres, licensee InTech. This is an open access chapter distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. On the Assessment of Structural Protein Models with ROSETTA-...
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ژورنال
عنوان ژورنال: PLOS Computational Biology
سال: 2021
ISSN: 1553-7358
DOI: 10.1371/journal.pcbi.1008568