Molecular Determinants for Unphosphorylated STAT3 Dimerization Determined by Integrative Modeling.
Signal transducer and activator of transcription factors (STATs) are proteins that can translocate into the nucleus, bind DNA, and activate gene transcription. STAT proteins play a crucial role in cell proliferation, apoptosis, and differentiation. The prevalent view is that STAT proteins are able to form dimers and bind DNA only upon phosphorylation of specific tyrosine residues in the transactivation domain. However, this paradigm has been questioned recently by the observation of dimers of unphosphorylated STATs (USTATs) by X-ray, Förster resonance energy transfer, and site-directed mutagenesis. A more complex picture of the dimerization process and of the role of the dimers is, thus, emerging. Here we present an integrated modeling study of STAT3, a member of the STAT family of utmost importance in cancer development and therapy, in which we combine available experimental data with several computational methodologies such as homology modeling, protein-protein docking, and molecular dynamics to build reliable atomistic models of USTAT3 dimers. The models generated with the integrative approach presented here were then validated by performing computational alanine scanning for all the residues in the protein-protein interface. These results confirmed the experimental observation of the importance of some of these residues (in particular Leu78 and Asp19) in the USTAT3 dimerization process. Given the growing importance of USTAT3 dimers in several cellular pathways, our models provide an important tool for studying the effects of pathological mutations at the molecular and/or atomistic level, and in the rational design of new inhibitors of dimerization.
Institute of Research in Biomedicine (IRB) and Universitá della Svizzera italiana (USI) , Via Vincenzo Vela 6, CH-6500 Bellinzona, Switzerland.
Jacopo
J
Sgrignani
Institute of Research in Biomedicine (IRB) and Universitá della Svizzera italiana (USI) , Via Vincenzo Vela 6, CH-6500 Bellinzona, Switzerland.|Laboratorium für Physikalische Chemie, Eidgenössische Technische Hochschule Zürich , Vladimir-Prelog-Weg 2, CH-8093 Zürich, Switzerland.
Simon
S
Olsson
Institute of Research in Biomedicine (IRB) and Universitá della Svizzera italiana (USI) , Via Vincenzo Vela 6, CH-6500 Bellinzona, Switzerland.
Dariusz
D
Ekonomiuk
IOR Institute of Oncology Research , Via Vincenzo Vela 6, CH-6500 Bellinzona, Switzerland.
Davide
D
Genini
Institute of Computational Science, Faculty of Informatics, Universitá della Svizzera Italiana (USI) , Via Giuseppe Buffi 13, CH-6900 Lugano, Switzerland.
Rolf
R
Krause
IOR Institute of Oncology Research , Via Vincenzo Vela 6, CH-6500 Bellinzona, Switzerland.
Carlo V
CV
Catapano
Institute of Research in Biomedicine (IRB) and Universitá della Svizzera italiana (USI) , Via Vincenzo Vela 6, CH-6500 Bellinzona, Switzerland.|Department of Chemistry, University of Cambridge , Lansfield Road, Cambridge CB2 1EW, U.K.
Andrea
A
Cavalli
D000595:Amino Acid Sequence; D000818:Animals; D051379:Mice; D008958:Models, Molecular; D008969:Molecular Sequence Data; D010766:Phosphorylation / Q000502:physiology; D055503:Protein Multimerization / Q000502:physiology; D017433:Protein Structure, Secondary; D017434:Protein Structure, Tertiary; D050796:STAT3 Transcription Factor / Q000737:chemistry* / Q000235:genetics* / Q000378:metabolism
D050796:STAT3 Transcription Factor; C494087:Stat3 protein, mouse