Protein function prediction using domain families
نویسندگان
چکیده
منابع مشابه
Protein Interaction Networks: Protein Domain Interaction and Protein Function Prediction
Most of a cell’s functional processes involve interactions among proteins, and a key challenge in proteomics is to better understand these complex interaction graphs at a systems level. Because of their importance in development and disease, protein-protein interactions (PPIs) have been the subject of intense research in recent years. In addition, a greater understanding of PPIs can be achieved...
متن کاملPrediction of function divergence in protein families using the substitution rate variation parameter alpha.
Protein families typically embody a range of related functions and may thus be decomposed into subfamilies with, for example, distinct substrate specificities. Detection of functionally divergent subfamilies is possible by methods for recognizing branches of adaptive evolution in a gene tree. As the number of genome sequences is growing rapidly, it is highly desirable to automatically detect su...
متن کاملProtein function prediction and classification using uncertainty
The overall aim of this project is to investigate the use of Bayesian networks (Needham et al., 2006b) in integrating information, expressing relationships and making inferences or predictions on biological problems, motivated by data generation in genomics and proteomics. We have already successfully applied Bayesian networks to two problems in which we have previous experience. In the first i...
متن کاملProtein Function Prediction Using Dependence Maximization
Protein function prediction is one of the fundamental tasks in the post genomic era. The vast amount of available proteomic data makes it possible to computationally annotate proteins. Most computational approaches predict protein functions by using the labeled proteins and assuming that the annotation of labeled proteins is complete, and without any missing functions. However, partially annota...
متن کاملPrediction of Protein Function Using Protein-Protein Interaction Data
Assigning functions to novel proteins is one of the most important problems in the postgenomic era. Several approaches have been applied to this problem, including the analysis of gene expression patterns, phylogenetic profiles, protein fusions, and protein-protein interactions. In this paper, we develop a novel approach that employs the theory of Markov random fields to infer a protein's funct...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2013
ISSN: 1471-2105
DOI: 10.1186/1471-2105-14-s3-s5