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Paper Title
Performance of computational methods for the evaluation of pericentriolar material 1 missense variants in CAGI-5.
PubMed
Paper Journal Title
Hum Mutat
Paper Citation Count
7
Paper Publication Year
2019
Bio Mention
Benign variants, CAGI, CAGI-5, CAGI-5 PCM1, PCM1, PCM1 protein, Participants, benign variants, human, missense, pericentriolar, pericentriolar material, pericentriolar material 1, schizophrenia, single nucleotide polymorphisms
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Author Name
Affiliation
Marco Carraro
University of Padua
Kivilcim Ozturk
University of California San Diego
Yana Bromberg
Rutgers University
Yana Bromberg
Institute for Advanced Study, Technical University of Munich (TUM)
Castrense Savojardo
Department of Pharmacy and Biotechnology, University of Bologna
Pier Luigi Martelli
Department of Pharmacy and Biotechnology, University of Bologna
Rita Casadio
Department of Pharmacy and Biotechnology, University of Bologna
Olivier Lichtarge
Baylor College of Medicine
Hannah Carter
University of California San Diego
Hannah Carter
University of California San Diego
Nicholas Katsanis
Center for Human Disease Modeling, Duke University Medical Center
Nicholas Katsanis
Center for Human Disease Modeling, Duke University Medical Center
John Moult
Institute for Bioscience and Biotechnology Research, University of Maryland
John Moult
University of Maryland, College Park
Steven E Brenner
University of California berkeley
Steven E Brenner
University of California berkeley
Carlo Ferrari
University of Padua
Silvio C E Tosatto
University of Padua
Silvio C E Tosatto
Lawrence Berkeley National Laboratory
Silvio C E Tosatto
University of Padua
Silvio C E Tosatto
Lawrence Berkeley National Laboratory
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