Inter-Species/Host-Parasite Protein Interaction Predictions Reviewed
نویسندگان
چکیده
منابع مشابه
Protein interaction predictions from diverse sources.
Protein-protein interactions play an important role in many cellular processes. The availability of a comprehensive and accurate list of protein interactions can facilitate drug target discovery. Recent advances in high-throughput experimental technologies have generated enormous amounts of data and provided valuable resources for studying protein interactions. However, these technologies suffe...
متن کاملComparing human–Salmonella with plant–Salmonella protein–protein interaction predictions
Salmonellosis is the most frequent foodborne disease worldwide and can be transmitted to humans by a variety of routes, especially via animal and plant products. Salmonella bacteria are believed to use not only animal and human but also plant hosts despite their evolutionary distance. This raises the question if Salmonella employs similar mechanisms in infection of these diverse hosts. Given th...
متن کاملSHARP2: protein-protein interaction predictions using patch analysis
UNLABELLED SHARP2 is a flexible web-based bioinformatics tool for predicting potential protein-protein interaction sites on protein structures. It implements a predictive algorithm that calculates multiple parameters for overlapping patches of residues on the surface of a protein. Six parameters are calculated: solvation potential, hydrophobicity, accessible surface area, residue interface prop...
متن کاملpredictions of protein-protein interfaces within membrane protein complexes
background: prediction of interaction sites within the membrane protein complexes using the sequence data is of a great importance, because it would find applications in modification of molecules transport through membrane, signaling pathways and drug targets of many diseases. nevertheless, it has gained little attention from the protein structural bioinformatics community. methods: in this stu...
متن کاملIntegrating Statistical Predictions and Experimental Verifications for Enhancing Protein-Chemical Interaction Predictions in Virtual Screening
Predictions of interactions between target proteins and potential leads are of great benefit in the drug discovery process. We present a comprehensively applicable statistical prediction method for interactions between any proteins and chemical compounds, which requires only protein sequence data and chemical structure data and utilizes the statistical learning method of support vector machines...
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: Current Bioinformatics
سال: 2018
ISSN: 1574-8936
DOI: 10.2174/1574893613666180108155851