No simple dependence between protein evolution rate and the number of protein-protein interactions: only the most prolific interactors tend to evolve slowly
about
Unequal evolutionary conservation of human protein interactions in interologous networksAn integrated view of protein evolutionConstraints and plasticity in genome and molecular-phenome evolutionGlobal topological features of cancer proteins in the human interactomeComprehensive curation and analysis of global interaction networks in Saccharomyces cerevisiaeEvolutionary rate depends on number of protein-protein interactions independently of gene expression levelApparent dependence of protein evolutionary rate on number of interactions is linked to biases in protein-protein interactions data setsNew methods for finding disease-susceptibility genes: impact and potentialComparative analysis of the Saccharomyces cerevisiae and Caenorhabditis elegans protein interaction networksErratum to: No simple dependence between protein evolution rate and the number of protein-protein interactions: only the most prolific interactors tend to evolve slowlyEvolutionary rate depends on number of protein-protein interactions independently of gene expression level: responseA simple dependence between protein evolution rate and the number of protein-protein interactionsStable evolutionary signal in a yeast protein interaction networkComprehensive Map of Molecules Implicated in ObesityEvolution of biological interaction networks: from models to real dataThe role of positive selection in determining the molecular cause of species differences in diseaseNetwork medicine: a network-based approach to human diseaseInteractome networks and human diseaseInteraction network containing conserved and essential protein complexes in Escherichia coliEvaluating the fitness cost of protein expression in Saccharomyces cerevisiae.Structural determinants of the rate of protein evolution in yeast.Co-expression among constituents of a motif in the protein-protein interaction networkUnderstanding protein dispensability through machine-learning analysis of high-throughput data.What do we learn from high-throughput protein interaction data?Gene loss, protein sequence divergence, gene dispensability, expression level, and interactivity are correlated in eukaryotic evolutionEvolutionary and physiological importance of hub proteins.Data mining for proteins characteristic of clades.Assembly rules for protein networks derived from phylogenetic-statistical analysis of whole genomes.Splicing and the evolution of proteins in mammalsGenerating confidence intervals on biological networksNon-uniform survival rate of heterodimerization links in the evolution of the yeast protein-protein interaction network.High throughput interaction data reveals degree conservation of hub proteins.Gene socialization: gene order, GC content and gene silencing in SalmonellaTime from pre-eclampsia diagnosis to delivery affects future health prospects of childrenTrees on networks: resolving statistical patterns of phylogenetic similarities among interacting proteinsPmRunt regulated by Pm-miR-183 participates in nacre formation possibly through promoting the expression of collagen VI-like and Nacrein in pearl oyster Pinctada martensiiUnderstanding protein evolutionary rate by integrating gene co-expression with protein interactions.Expression level, cellular compartment and metabolic network position all influence the average selective constraint on mammalian enzymes.The effects of network neighbours on protein evolution.Evidence for the additions of clustered interacting nodes during the evolution of protein interaction networks from network motifs.
P2860
Q21092867-62413170-4CDF-4176-8E62-D8B3013FCFD1Q22122015-8730D3AB-9C85-49DC-8477-AB5FA09A1E5BQ24594789-80C9FF48-AD3E-4E63-803B-15417172B6A5Q24672981-235E6D71-BE4D-4CE8-BA16-1E8A5A4C5A69Q24675519-DD7FAEDD-AA5D-4FD5-BA36-D590E575F619Q24791005-B4B8BECF-C317-408D-B378-B77756AD55B2Q24792354-B0E5840C-7C56-4CEA-9C02-FC33EBAA48D5Q24792574-219C65A4-D8DF-4D8A-973F-11267CE5113DQ24792789-1A12CDC7-268E-4A06-AE2B-B0D935838F6CQ24798016-24EEA856-081B-4E9A-B112-217B6407FF0AQ24799687-E1E6176F-0228-47CF-8793-88E0E2717EBFQ24806605-D6F1A21A-EDCF-4547-AEBE-0A5E7A3FA30EQ25255720-B63887C8-8F24-4452-9F0B-CA59F669DDA1Q28550240-D86B40BB-6DAE-4947-90C5-0D713ABE8DE9Q28730461-1C8B8A39-D66D-4086-A709-55D3AFB007F7Q28756691-61466BFA-9589-4246-9A8D-911DEAEDF621Q29547462-7A6C9F03-239F-478C-99C9-B82D1C44035CQ29615773-9D9DF2A9-33E5-4A99-B9FB-0DA9AF1C8EF9Q29615776-6A5DA4F5-F50B-451F-9C5A-8F666C741D1FQ30354567-7E895BF3-7991-4A37-B678-0A0D7B5763E9Q30354999-7DDC1AB9-2953-4EBF-8A2B-73B69C677D3DQ30491292-907F8896-2554-4E90-B769-270F59AF0A9DQ30969684-2E8EDB30-B740-4FF7-B412-EFC62B322919Q30992459-20DB8F4B-B9AA-4046-8FA0-C2A3E9585709Q31006545-B2B372A6-B9F4-4966-B2EC-F02BF89135F8Q33250079-5D4D9CFF-A69C-456B-9E2C-CF28B59C5F0FQ33255505-DC0640E0-AC74-49C7-A25B-ACC88CAB6105Q33272843-ACCA5E50-891D-47EE-BE19-5DE44A89E227Q33273607-24C0070A-1B22-459E-8BC1-6FE904648F08Q33308290-C541A426-E957-4241-B8C0-A36A1CA7F624Q33321230-70DA8685-9A1C-4A76-A3C2-FFAB8C649E64Q33408224-16BEA0B7-4DD6-402C-9778-608796FD177DQ33517940-CB2774DB-C865-457F-8279-AC336227F653Q33552791-0029A225-6CFC-49CB-A938-A044E00F389CQ33696515-7D18E5D3-067A-4711-9EB4-45664EE8BCE6Q33751853-C1800304-59D4-475F-B64C-71BECAEF54D1Q33781755-5A926275-23E1-4A68-9673-4CED6F5752C5Q33864231-18EF805C-5E31-4C67-98A7-D00C1D76781EQ33885848-1AB3FEB1-D471-43D7-B852-9DF30369E6EAQ33906212-F2EA21D0-094E-4146-B6FD-DB0B6A94D762
P2860
No simple dependence between protein evolution rate and the number of protein-protein interactions: only the most prolific interactors tend to evolve slowly
description
2003 nî lūn-bûn
@nan
2003 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2003 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2003年の論文
@ja
2003年論文
@yue
2003年論文
@zh-hant
2003年論文
@zh-hk
2003年論文
@zh-mo
2003年論文
@zh-tw
2003年论文
@wuu
name
No simple dependence between p ...... eractors tend to evolve slowly
@ast
No simple dependence between p ...... eractors tend to evolve slowly
@en
No simple dependence between p ...... eractors tend to evolve slowly
@nl
type
label
No simple dependence between p ...... eractors tend to evolve slowly
@ast
No simple dependence between p ...... eractors tend to evolve slowly
@en
No simple dependence between p ...... eractors tend to evolve slowly
@nl
prefLabel
No simple dependence between p ...... eractors tend to evolve slowly
@ast
No simple dependence between p ...... eractors tend to evolve slowly
@en
No simple dependence between p ...... eractors tend to evolve slowly
@nl
P2860
P3181
P356
P1476
No simple dependence between p ...... eractors tend to evolve slowly
@en
P2093
I King Jordan
P2860
P2888
P3181
P356
10.1186/1471-2148-3-1
P407
P577
2003-01-06T00:00:00Z
P5875
P6179
1004599261