about
Evolution of phosphoregulation: comparison of phosphorylation patterns across yeast speciesA human B-cell interactome identifies MYB and FOXM1 as master regulators of proliferation in germinal centersComparative genomics and disorder prediction identify biologically relevant SH3 protein interactions.Evolution and functional cross-talk of protein post-translational modificationsHierarchical modularity and the evolution of genetic interactomes across species.Systematic functional prioritization of protein posttranslational modifications.Towards the computational design of protein post-translational regulationADAN: a database for prediction of protein-protein interaction of modular domains mediated by linear motifs.Structure-based prediction of the Saccharomyces cerevisiae SH3-ligand interactions.Prediction of Functionally Important Phospho-Regulatory Events in Xenopus laevis Oocytes.Benchmarking substrate-based kinase activity inference using phosphoproteomic data.Specificity and evolvability in eukaryotic protein interaction networks.Genome-wide prediction of SH2 domain targets using structural information and the FoldX algorithm.Cross-species chemogenomic profiling reveals evolutionarily conserved drug mode of actionPhenotypic landscape of a bacterial cellPhosphoproteomic analysis reveals regulatory mechanisms at the kidney filtration barrierSite-specific acetylation mark on an essential chromatin-remodeling complex promotes resistance to replication stress.Systematic Analysis of Transcriptional and Post-transcriptional Regulation of Metabolism in YeastStructures in systems biology.Analyzing protein interaction networks using structural information.Global analysis of phosphorylation and ubiquitylation cross-talk in protein degradationUncovering Phosphorylation-Based Specificities through Functional Interaction Networks.Genomic Determinants of Protein Abundance Variation in Colorectal Cancer Cells.An atlas of human kinase regulation.Differential genetic interactions of yeast stress response MAPK pathways.Kinase-two-hybrid: towards the conditional interactome.Quantitative genetic interactions reveal biological modularity.Evolvability and hierarchy in rewired bacterial gene networks.Sub-minute Phosphoregulation of Cell Cycle Systems during Plasmodium Gamete Formation.Widespread Post-transcriptional Attenuation of Genomic Copy-Number Variation in Cancer.Evolution of protein phosphorylation across 18 fungal species.Phenotype inference in an Escherichia coli strain panel.Evolution, dynamics and dysregulation of kinase signalling.Identifications of Putative PKA Substrates with Quantitative Phosphoproteomics and Primary-Sequence-Based Scoring.SmartCell, a framework to simulate cellular processes that combines stochastic approximation with diffusion and localisation: analysis of simple networks.A Genome-wide Ras-Effector Interaction NetworkComparative genomics and disorder prediction identify biologically relevant SH3 protein interactionsiProteinDB: An Integrative Database of Post-translational ModificationsReconstructing phosphorylation signalling networks from quantitative phosphoproteomic dataCapturing variation impact on molecular interactions in the IMEx Consortium mutations data set
P50
Q21145819-9A280C94-AFB8-4211-9054-EDEC77F52644Q24318306-70BF22B3-5BBB-454A-8044-8B0DB3C8F6C0Q24813518-BC743474-BF86-4F95-A594-1CD9A95231E4Q26823238-05E48F4D-D228-4F67-A9E1-B8E73A335402Q27932016-F225D244-BDEA-4A6A-BD4D-9A9C05569018Q27936051-D2741F17-C8AC-415C-B692-875770E942D9Q28081680-21D54D87-D0AA-4B37-9BDA-8F29E1AD073CQ30157201-C0D26EF7-E212-465E-822E-0B87D94C4B81Q30157316-1CE5D0D4-99B6-4DF4-81A2-C0C2294DA3B7Q30378436-61DD657A-8436-41D3-8CCB-86845C00B370Q31162178-135C83B8-E0B9-4CD5-8C44-17ED7639E8B3Q33274191-44E0DB3F-83CF-45D7-9F08-04170698DE78Q33326985-BD93B65D-1BCD-40C2-916F-6D2F65E151A1Q33778163-EBCB6F6F-43DC-42C6-AA27-16CCA69802C8Q33780274-2EC31223-1032-49F7-92CA-FAD4F37499B4Q33814888-FBD771F3-B0DF-4489-A4EA-E42E746B0E56Q35081623-D4246F23-5149-4309-90D3-5FDE26DD2B6BQ36245407-DE1266C2-CF29-4BE1-8C12-B721A8AEE3E3Q36851656-D7962998-E9F1-4EEB-9153-1B49A2F7F369Q37096094-B2F10BFB-E956-4027-A61B-D7A770F16DC4Q37404493-3638A34F-00E0-4AA0-9A21-848750ED74F5Q38587557-540D1CBD-E6F0-473C-91BF-67318024B75BQ38602104-5C037A6E-7AF3-4C3C-BFDB-E2F21B43F4C9Q40281817-14AD2A44-B362-49E0-8D46-DB0E020191D1Q40366064-653CB313-3067-412F-A3C2-AD8C6077FBBEQ41789565-7A59CB34-93CD-454A-BD9A-31DA63EC9EBFQ41830607-4A1BA366-2379-4EE5-BAE3-1D97F0318A73Q43148797-F80FAAFE-7610-4F0D-A3D4-AAF8D6966F5AQ44169877-D584E8D0-C5AF-41DA-B784-5EF133517F8AQ44689460-F7AF58B2-82B5-49D7-B432-7FAD34EC9C94Q46478303-E1CC86A6-944F-4116-AE24-4BE9CC3F59DEQ47102406-69C61825-D888-4DE8-A6B2-53EAC91932B9Q47217329-8D52795C-398B-40F6-ADEB-9CE6BC853CE3Q48135651-E46F80A1-5F51-4BFA-B553-B8E23A3876F8Q51930664-E26CCCC5-402D-4986-8B8F-A678F7FECEE8Q58000961-17297EE1-3610-42BC-8072-E3A6A44B35BFQ58000968-A3ABB938-0FC3-49E3-BCF9-68E96EC7B257Q58610253-8F0B172A-4DF0-4E1F-AF59-579966456C18Q58802584-0B1C88EE-0935-4E10-BC24-1B2C35AD7EE2Q60922225-FAEC8F7D-7E77-40FB-A9F5-7A002307142F
P50
description
hulumtues
@sq
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Pedro Beltrao
@ast
Pedro Beltrao
@en
Pedro Beltrao
@es
Pedro Beltrao
@sl
type
label
Pedro Beltrao
@ast
Pedro Beltrao
@en
Pedro Beltrao
@es
Pedro Beltrao
@sl
prefLabel
Pedro Beltrao
@ast
Pedro Beltrao
@en
Pedro Beltrao
@es
Pedro Beltrao
@sl
P106
P1153
23494578700
P21
P2456
P31
P496
0000-0002-2724-7703