Your browser doesn't support javascript.
loading
Self-consistency test reveals systematic bias in programs for prediction change of stability upon mutation.
Usmanova, Dinara R; Bogatyreva, Natalya S; Ariño Bernad, Joan; Eremina, Aleksandra A; Gorshkova, Anastasiya A; Kanevskiy, German M; Lonishin, Lyubov R; Meister, Alexander V; Yakupova, Alisa G; Kondrashov, Fyodor A; Ivankov, Dmitry N.
Afiliación
  • Usmanova DR; Department of Systems Biology, Columbia University Medical Center, New York, NY, USA.
  • Bogatyreva NS; Bioinformatics and Genomics Programme, Centre for Genomic Regulation (CRG), Barcelona, Spain.
  • Ariño Bernad J; Universitat Pompeu Fabra (UPF), Barcelona, Spain.
  • Eremina AA; Laboratory of Protein Physics, Institute of Protein Research of the Russian Academy of Sciences, Pushchino, Moscow Region, Russia.
  • Gorshkova AA; Centre de Formació Interdisciplinària Superior, Universitat Politècnica de Catalunya, Barcelona, Spain.
  • Kanevskiy GM; School of Biological Sciences, College of Science and Engineering, University of Edinburgh, Edinburgh, UK.
  • Lonishin LR; Biological Faculty, Lomonosov Moscow State University, Moscow, Russia.
  • Meister AV; Higher Chemical College of the Russian Academy of Sciences, Moscow, Russia.
  • Yakupova AG; Faculty of Technical Physics, Institute of Physics, Nanotechnology and Telecommunications, Peter the Great Saint-Petersburg Polytechnic University, Saint-Petersburg, Russia.
  • Kondrashov FA; Department of Medicine, Novosibirsk State University, Novosibirsk, Russia.
  • Ivankov DN; Biological Faculty, Lomonosov Moscow State University, Moscow, Russia.
Bioinformatics ; 34(21): 3653-3658, 2018 11 01.
Article en En | MEDLINE | ID: mdl-29722803
Asunto(s)
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Proteínas Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Proteínas Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos