Hydropathicity-based prediction of pain-causing NaV1.7 variants

被引：0
作者：
Makros N. Xenakis
Dimos Kapetis
Yang Yang
Monique M. Gerrits
Jordi Heijman
Stephen G. Waxman
Giuseppe Lauria
Catharina G. Faber
Ronald L. Westra
Patrick J. Lindsey
Hubert J. Smeets
机构：
[1] Maastricht University,Department of Toxicogenomics, Section Clinical Genomics
[2] Maastricht University,Research School for Mental Health and Neuroscience (MHeNS)
[3] Fondazione IRCCS Istituto Neurologico “Carlo Besta”,Neuroalgology Unit
[4] Purdue University College of Pharmacy,Department of Medicinal Chemistry and Molecular Pharmacology
[5] Purdue Institute for Integrative Neuroscience,Department of Clinical Genetics
[6] Maastricht University Medical Center,Department of Cardiology, CARIM School for Cardiovascular Diseases
[7] Maastricht University,Department of Neurology and Center for Neuroscience and Regeneration Research
[8] Yale University School of Medicine,Rehabilitation Research Center
[9] Veterans Affairs Connecticut Healthcare System,Department of Biomedical and Clinical Sciences “Luigi Sacco”
[10] University of Milan,Department of Neurology
[11] Maastricht University Medical Center,Department of Data Science and Knowledge Engineering
[12] Maastricht University,Research School for Oncology and Developmental Biology (GROW)
[13] Maastricht University,undefined
来源：
BMC Bioinformatics | / 22卷
关键词：
NaV1.7; Missense mutations; Pain; Atomic hydropathicity; Computational modeling; Cumulative hydropathic topology; Scaling; Pathogenicity prediction;
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