The development of a universal in silico predictor of protein-protein interactions.
about
Negatome 2.0: a database of non-interacting proteins derived by literature mining, manual annotation and protein structure analysisStructural bioinformatics of the interactome.Prediction of protein-protein interactions with clustered amino acids and weighted sparse representation.Protein-protein interaction detection: methods and analysis.Unravelling the Neospora caninum secretome through the secreted fraction (ESA) and quantification of the discharged tachyzoite using high-resolution mass spectrometry-based proteomics.Detecting reliable non interacting proteins (NIPs) significantly enhancing the computational prediction of protein-protein interactions using machine learning methods.Evolution of In Silico Strategies for Protein-Protein Interaction Drug Discovery
P2860
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P2860
The development of a universal in silico predictor of protein-protein interactions.
description
2013 nî lūn-bûn
@nan
2013 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
The development of a universal in silico predictor of protein-protein interactions.
@ast
The development of a universal in silico predictor of protein-protein interactions.
@en
type
label
The development of a universal in silico predictor of protein-protein interactions.
@ast
The development of a universal in silico predictor of protein-protein interactions.
@en
prefLabel
The development of a universal in silico predictor of protein-protein interactions.
@ast
The development of a universal in silico predictor of protein-protein interactions.
@en
P2860
P50
P1433
P1476
The development of a universal in silico predictor of protein-protein interactions.
@en
P2093
P2860
P304
P356
10.1371/JOURNAL.PONE.0065587
P407
P577
2013-05-31T00:00:00Z