Estimating the probability for a protein to have a new fold: A statistical computational model.
about
Functional coverage of the human genome by existing structures, structural genomics targets, and homology models.Streptococcus pneumonia YlxR at 1.35 A shows a putative new foldDecision tree based information integration for automated protein classification.Targeting novel folds for structural genomics.Structural features and the persistence of acquired proteins.ProtoNet: hierarchical classification of the protein space.Exploring the sequence-structure protein landscape in the glycosyltransferase family
P2860
Q24814930-D138717E-B6FE-4DD6-9648-C349616B7620Q27635708-DBCF8936-4660-45B4-B94D-556A76460430Q30351265-180D503D-B5BD-45F5-B5C9-93D5A5284684Q30731629-79B00FDE-57C6-4EAB-88DD-6F6E8560C55BQ34458709-47500C66-3819-4E23-8FFC-EBE9FE930D00Q39790583-528E977C-F5F2-44AD-95EA-FBBCF81B77DBQ41968456-D3306898-54B8-46CD-A101-EEB4677AF0D7
P2860
Estimating the probability for a protein to have a new fold: A statistical computational model.
description
2000 nî lūn-bûn
@nan
2000 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2000 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2000年の論文
@ja
2000年論文
@yue
2000年論文
@zh-hant
2000年論文
@zh-hk
2000年論文
@zh-mo
2000年論文
@zh-tw
2000年论文
@wuu
name
Estimating the probability for ...... atistical computational model.
@ast
Estimating the probability for ...... atistical computational model.
@en
type
label
Estimating the probability for ...... atistical computational model.
@ast
Estimating the probability for ...... atistical computational model.
@en
prefLabel
Estimating the probability for ...... atistical computational model.
@ast
Estimating the probability for ...... atistical computational model.
@en
P2860
P921
P356
P1476
Estimating the probability for ...... atistical computational model.
@en
P2093
P2860
P304
P356
10.1073/PNAS.090559497
P407
P577
2000-05-01T00:00:00Z