InterPreTS: protein Interaction Prediction through Tertiary Structure
نویسندگان
چکیده
منابع مشابه
InterPreTS: protein Interaction Prediction through Tertiary Structure
SUMMARY InterPreTS (Interaction Prediction through Tertiary Structure) is a web-based version of our method for predicting protein-protein interactions (Aloy and Russell, 2002, PROC: Natl Acad. Sci. USA, 99, 5896-5901). Given a pair of query sequences, we first search for homologues in a database of interacting domains (DBID) of known three-dimensional complex structures. Pairs of sequences hom...
متن کاملIn Silico Prediction and Docking of Tertiary Structure of Multifunctional Protein X of Hepatitis B Virus
Hepatitis B virus (HBV) infection is a universal health problem and may result into acute, fulminant, chronic hepatitis liver cirrhosis, or hepatocellular carcinoma. Sequence for protein X of HBV was retrieved from Uniprot database. ProtParam from ExPAsy server was used to investigate the physicochemical properties of the protein. Homology modeling was carried out using Phyre2 server, and refin...
متن کاملConstructive Induction and Protein Tertiary Structure Prediction
To date, the only methods that have been used successfully to predict protein structures have been based on identifying homologous proteins whose structures are known. However, such methods are limited by the fact that some proteins have similar structure but no significant sequence homology. We consider two ways of applying machine learning to facilitate protein structure prediction. We argue ...
متن کاملThe MULTICOM protein tertiary structure prediction system.
With the expansion of genomics and proteomics data aided by the rapid progress of next-generation sequencing technologies, computational prediction of protein three-dimensional structure is an essential part of modern structural genomics initiatives. Prediction of protein structure through understanding of the theories behind protein sequence-structure relationship, however, remains one of the ...
متن کاملProtein Tertiary Structure Prediction Using Evolutionary Algorithms
In this paper, Protein Tertiary Structure Prediction using Evolutionary Algorithms (EAs) such as SelfAdaptive Differential Evolution (SaDE) and Real-coded Genetic Algorithm (RGA) are discussed. RGA is implemented with various crossover and mutation operators. The algorithms are tested on a peptide Metenkephalin. The energy functions used are ECEPP/2 and ECEPP/3 force fields. SaDE and RGA with d...
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: Bioinformatics
سال: 2003
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/19.1.161