Identification of minimally interacting modules in an intrinsically disordered protein.
about
CAMELOT: A machine learning approach for coarse-grained simulations of aggregation of block-copolymeric protein sequences.Deducing conformational variability of intrinsically disordered proteins from infrared spectroscopy with Bayesian statistics.The role of semidisorder in temperature adaptation of bacterial FlgM proteins.Reads meet rotamers: structural biology in the age of deep sequencing.CONAN: A Tool to Decode Dynamical Information from Molecular Interaction Maps.Characterizing the 3D structure and dynamics of chromosomes and proteins in a common contact matrix framework
P2860
Identification of minimally interacting modules in an intrinsically disordered protein.
description
2012 nî lūn-bûn
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2012年の論文
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2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
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2012年论文
@zh-cn
name
Identification of minimally interacting modules in an intrinsically disordered protein.
@ast
Identification of minimally interacting modules in an intrinsically disordered protein.
@en
type
label
Identification of minimally interacting modules in an intrinsically disordered protein.
@ast
Identification of minimally interacting modules in an intrinsically disordered protein.
@en
prefLabel
Identification of minimally interacting modules in an intrinsically disordered protein.
@ast
Identification of minimally interacting modules in an intrinsically disordered protein.
@en
P2860
P1433
P1476
Identification of minimally interacting modules in an intrinsically disordered protein
@en
P2093
Anurag Sethi
Jianhui Tian
P2860
P304
P356
10.1016/J.BPJ.2012.06.052
P407
P577
2012-08-01T00:00:00Z