2022
Analysis of somatic mutations in 131 human brains reveals aging-associated hypermutability
Bae T, Fasching L, Wang Y, Shin JH, Suvakov M, Jang Y, Norton S, Dias C, Mariani J, Jourdon A, Wu F, Panda A, Pattni R, Chahine Y, Yeh R, Roberts RC, Huttner A, Kleinman JE, Hyde TM, Straub RE, Walsh CA, Urban A, Leckman J, Weinberger D, Vaccarino F, Abyzov A, Walsh C, Park P, Sestan N, Weinberger D, Moran J, Gage F, Vaccarino F, Gleeson J, Mathern G, Courchesne E, Roy S, Chess A, Akbarian S, Bizzotto S, Coulter M, Dias C, D’Gama A, Ganz J, Hill R, Huang A, Khoshkhoo S, Kim S, Lee A, Lodato M, Maury E, Miller M, Borges-Monroy R, Rodin R, Zhou Z, Bohrson C, Chu C, Cortes-Ciriano I, Dou Y, Galor A, Gulhan D, Kwon M, Luquette J, Sherman M, Viswanadham V, Jones A, Rosenbluh C, Cho S, Langmead B, Thorpe J, Erwin J, Jaffe A, McConnell M, Narurkar R, Paquola A, Shin J, Straub R, Abyzov A, Bae T, Jang Y, Wang Y, Molitor C, Peters M, Linker S, Reed P, Wang M, Urban A, Zhou B, Zhu X, Pattni R, Serres Amero A, Juan D, Lobon I, Marques-Bonet T, Solis Moruno M, Garcia Perez R, Povolotskaya I, Soriano E, Antaki D, Averbuj D, Ball L, Breuss M, Yang X, Chung C, Emery S, Flasch D, Kidd J, Kopera H, Kwan K, Mills R, Moldovan J, Sun C, Zhao X, Zhou W, Frisbie T, Cherskov A, Fasching L, Jourdon A, Pochareddy S, Scuderi S. Analysis of somatic mutations in 131 human brains reveals aging-associated hypermutability. Science 2022, 377: 511-517. PMID: 35901164, PMCID: PMC9420557, DOI: 10.1126/science.abm6222.Peer-Reviewed Original ResearchConceptsTranscription factorsSomatic mutationsPutative transcription factorEnhancer-like regionSingle nucleotide mutationsWhole-genome sequencingGene regulationSomatic duplicationGenome sequencingDamaging mutationsBackground mutagenesisMutationsHypermutabilityClonal expansionMotifDiseased brainPotential linkVivo clonal expansionMutagenesisGenesDuplicationSequencingRegulation
2011
Integration of protein motions with molecular networks reveals different mechanisms for permanent and transient interactions
Bhardwaj N, Abyzov A, Clarke D, Shou C, Gerstein MB. Integration of protein motions with molecular networks reveals different mechanisms for permanent and transient interactions. Protein Science 2011, 20: 1745-1754. PMID: 21826754, PMCID: PMC3218368, DOI: 10.1002/pro.710.Peer-Reviewed Original ResearchMeSH KeywordsComputational BiologyDatabases, ProteinModels, MolecularProtein BindingProtein Interaction MappingProteinsSoftwareConceptsMulti-interface hubsMolecular networksConformational changesInteraction networksTransient interactionsStructural interaction networksProtein interaction networksClassification of proteinsDynamic conformational changesProtein structural featuresSmall conformational changesTransient associationGene expressionMore plasticityProtein motionsStructural databankProteinAlternate conformationDifferent mechanismsDrastic structural changesDomainInteraction
2008
An AP Endonuclease 1–DNA Polymerase β Complex: Theoretical Prediction of Interacting Surfaces
Abyzov A, Uzun A, Strauss P, Ilyin V. An AP Endonuclease 1–DNA Polymerase β Complex: Theoretical Prediction of Interacting Surfaces. PLOS Computational Biology 2008, 4: e1000066. PMID: 18437203, PMCID: PMC2289873, DOI: 10.1371/journal.pcbi.1000066.Peer-Reviewed Original Research
2007
UmuD and RecA Directly Modulate the Mutagenic Potential of the Y Family DNA Polymerase DinB
Godoy V, Jarosz D, Simon S, Abyzov A, Ilyin V, Walker G. UmuD and RecA Directly Modulate the Mutagenic Potential of the Y Family DNA Polymerase DinB. Molecular Cell 2007, 28: 1058-1070. PMID: 18158902, PMCID: PMC2265384, DOI: 10.1016/j.molcel.2007.10.025.Peer-Reviewed Original ResearchMeSH KeywordsAmino Acid SequenceBinding SitesBlotting, Far-WesternDNA Polymerase betaDNA-Directed DNA PolymeraseEscherichia coliEscherichia coli ProteinsModels, MolecularMolecular Sequence DataMutagenesisMutationProtein BindingProtein Structure, TertiaryRec A RecombinasesSequence Homology, Amino AcidConceptsRegulatory protein-protein interactionsDNA damage-inducible proteinProtein-protein interactionsY-family DNA polymerasesFamily DNA polymerasesMutagenic phenotypeOpen active siteDinBRecAMutagenic potentialDNA polymeraseFrameshift mutagenesisProteinStructural modelingActive siteEukaryotesOrthologsArchaeaUmuDMutagenesisPolymerasePhenotypeBacteriaSitesEvolution
2005
ACTIVE SITE PREDICTION FOR COMPARATIVE MODEL STRUCTURES WITH THEMATICS
SHEHADI I, ABYZOV A, UZUN A, WEI Y, MURGA L, ILYIN V, ONDRECHEN M. ACTIVE SITE PREDICTION FOR COMPARATIVE MODEL STRUCTURES WITH THEMATICS. Journal Of Bioinformatics And Computational Biology 2005, 3: 127-143. PMID: 15751116, DOI: 10.1142/s0219720005000916.Peer-Reviewed Original Research