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

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
2021 BMC Bioinformatics  
In this work, we utilize spatial complexity of hydropathic effects toward predicting which NaV1.7 variants cause pain (and which are neutral) based on the location of corresponding mutation sites within  ...  Predicting in silico the phenotype of NaV1.7 variant is of major clinical importance; it can aid in reducing costs of in vitro pathophysiological characterization of NaV1.7 variants, as well as, in the  ...  Following [59, 61] , this study aims at probing the finely-tuned hypothesis for the NaV1.7's atomic hydropathic environment towards predicting whether a NaV1.7 variant causes pain or not.  ... 
doi:10.1186/s12859-021-04119-2 pmid:33892629 fatcat:h2ilnjuyhngnlfdghbllg3lwre

Abstracts of the 29th Annual Symposium of The Protein Society

2015 Protein Science  
Furthermore, bio-based methods for nanomaterial synthesis are inherently "green", enabling low-cost and scalable production of nanomaterials under benign conditions in aqueous solutions.  ...  Increasing energy needs have accelerated the demand for renewable alternatives to petroleum-based fuels; engineered microbes for the production of biofuels have the potential to fulfill these energy needs  ...  Multi-protein complexes formed at the origin of transfer (oriT) region of DNA and at the cytoplasmic membrane of the bacterial cell, initiate this process.  ... 
doi:10.1002/pro.2823 pmid:26452528 pmcid:PMC4632850 fatcat:ejmksoqj3zbsrkabl4jyp7emgi