Predicting phenotype from genotype: Improving accuracy through more robust experimental and computational modeling.

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Objective assessment of the evolutionary action equation for the fitness effect of missense mutations across CAGI-blinded contests.Pharmacogenomics of GPCR Drug Targets.Prediction and interpretation of deleterious coding variants in terms of protein structural stability.

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P2860

Predicting phenotype from genotype: Improving accuracy through more robust experimental and computational modeling.

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2017 nî lūn-bûn

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Predicting phenotype from geno ...... al and computational modeling.

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Predicting phenotype from geno ...... al and computational modeling.

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Predicting phenotype from geno ...... al and computational modeling.

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P1476

Predicting phenotype from geno ...... al and computational modeling.

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P2093

Amanda Koire

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Anne-Marie Schoenegge

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Jonathan Gallion

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Panagiotis Katsonis

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P2860

Predicting deleterious amino acid substitutions

The FoldX web server: an online force field

dbSNP: the NCBI database of genetic variation

MUSCLE: multiple sequence alignment with high accuracy and high throughput

A global reference for human genetic variation

Basic local alignment search tool

A method and server for predicting damaging missense mutations

Predicting the effects of amino acid substitutions on protein function

GPCR engineering yields high-resolution structural insights into beta2-adrenergic receptor function

PANTHER: a library of protein families and subfamilies indexed by function

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569-580

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scholarly article

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10.1002/HUMU.23193

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Michel Bouvier

Olivier Lichtarge

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2017-02-23T00:00:00Z

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28230923

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5516182

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Predicting phenotype from genotype: Improving accuracy through more robust experimental and computational modeling.

about

P2860

P2860

Predicting phenotype from genotype: Improving accuracy through more robust experimental and computational modeling.

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P2860

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