Extending Upside , a Near-Atomic Level Model for Fast Protein Folding, for Predicting Protein-Protein Interactions
نویسندگان
چکیده
منابع مشابه
Kernel methods for predicting protein-protein interactions
MOTIVATION Despite advances in high-throughput methods for discovering protein-protein interactions, the interaction networks of even well-studied model organisms are sketchy at best, highlighting the continued need for computational methods to help direct experimentalists in the search for novel interactions. RESULTS We present a kernel method for predicting protein-protein interactions usin...
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Protein-protein interactions (PPIs) play a critical role in many cellular functions. A number of experimental techniques have been applied to discover PPIs; however, these techniques are expensive in terms of time, money, and expertise. There are also large discrepancies between the PPI data collected by the same or different techniques in the same organism. We therefore turn to computational t...
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Engineering Computer Science Msc. System Engineering and Computation by David Camilo Becerra Romero This thesis focuses on the protein structure prediction problem, one of the most important problems tackled by bioinformatics and molecular biology. The basic problem consists of predicting the three-dimensional structure of a protein from its amino-acid sequence. Specifically, in this work a par...
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Background: Protein-protein interactions do not provide any direct information regarding the domains within the proteins that mediate the interactions. The majority of proteins are multi domain proteins and the interaction between them is often defined by the pairs of their domains. Most of the former studies focus only on interacting domain pairs. However they do not consider the in...
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ژورنال
عنوان ژورنال: Biophysical Journal
سال: 2017
ISSN: 0006-3495
DOI: 10.1016/j.bpj.2016.11.1946