Validation of protein models by a neural network approach.
about
Structural annotation of Mycobacterium tuberculosis proteomeMutations of C19orf12, coding for a transmembrane glycine zipper containing mitochondrial protein, cause mis-localization of the protein, inability to respond to oxidative stress and increased mitochondrial Ca²⁺.Protein structure prediction and model quality assessmentTemplate-based protein modeling: recent methodological advances.Sub-AQUA: real-value quality assessment of protein structure models.Network properties of decoys and CASP predicted models: a comparison with native protein structures.A database for human Y chromosome protein data.SInCRe-structural interactome computational resource for Mycobacterium tuberculosis.E2 superfamily of ubiquitin-conjugating enzymes: constitutively active or activated through phosphorylation in the catalytic cleft.Structural insights into a novel interkingdom signaling circuit by cartography of the ligand-binding sites of the homologous quorum sensing LuxR-family.Characterizing the pocketome of Mycobacterium tuberculosis and application in rationalizing polypharmacological target selection.The shape of protein crowders is a major determinant of protein diffusionThe kiwifruit emerging pathogen Pseudomonas syringae pv. actinidiae does not produce AHLs but possesses three luxR solos.Studies on synthetic LuxR solo hybrids.Functional and structural study of the dimeric inner membrane protein SbmA.
P2860
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P2860
Validation of protein models by a neural network approach.
description
2008 nî lūn-bûn
@nan
2008 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Validation of protein models by a neural network approach.
@ast
Validation of protein models by a neural network approach.
@en
type
label
Validation of protein models by a neural network approach.
@ast
Validation of protein models by a neural network approach.
@en
prefLabel
Validation of protein models by a neural network approach.
@ast
Validation of protein models by a neural network approach.
@en
P2093
P2860
P356
P1433
P1476
Validation of protein models by a neural network approach.
@en
P2093
Luca De Gioia
Maria Luisa Ganadu
Piercarlo Fantucci
P2860
P2888
P356
10.1186/1471-2105-9-66
P577
2008-01-29T00:00:00Z
P5875
P6179
1011201065