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Volumn 32, Issue 13, 2016, Pages 2032-2034

PON-Sol: Prediction of effects of amino acid substitutions on protein solubility

Author keywords

[No Author keywords available]

Indexed keywords

PROTEIN;

EID: 85007247074     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btw066     Document Type: Article
Times cited : (55)

References (11)
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    • Meulemans,A. et al. (2010) Defining the pathogenesis of the human Atp12p W94R mutation using a Saccharomyces cerevisiae yeast model. J. Biol. Chem., 285, 4099-4109.
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    • Meulemans, A.1
  • 6
    • 0043122919 scopus 로고    scopus 로고
    • SIFT: Predicting amino acid changes that affect protein function
    • Ng,P.C. and Henikoff,S. (2003) SIFT: predicting amino acid changes that affect protein function. Nucleic Acids Res., 31, 3812-3814.
    • (2003) Nucleic Acids Res. , vol.31 , pp. 3812-3814
    • Ng, P.C.1    Henikoff, S.2
  • 7
    • 84922351308 scopus 로고    scopus 로고
    • PON-P2: Prediction method for fast and reliable identification of harmful variants
    • Niroula,A. et al. (2015) PON-P2: prediction method for fast and reliable identification of harmful variants. PLoS One, 10, e0117380.
    • (2015) PLoS One , vol.10 , pp. e0117380
    • Niroula, A.1
  • 8
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    • The CamSol method of rational design of protein mutants with enhanced solubility
    • Sormanni,P. et al. (2014) The CamSol method of rational design of protein mutants with enhanced solubility. J. Mol. Biol., 427, 478-490.
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    • Sormanni, P.1
  • 9
    • 77957343461 scopus 로고    scopus 로고
    • Scoring function to predict solubility mutagenesis
    • Tian,Y. et al. (2010) Scoring function to predict solubility mutagenesis. Algorithms Mol. Biol., 5, 33.
    • (2010) Algorithms Mol. Biol. , vol.5 , pp. 33
    • Tian, Y.1
  • 10
    • 84868026028 scopus 로고    scopus 로고
    • How to evaluate performance of prediction methods? Measures and their interpretation in variation effect analysis
    • Vihinen,M. (2012) How to evaluate performance of prediction methods? Measures and their interpretation in variation effect analysis. BMC Genomics, 13, S2.
    • (2012) BMC Genomics , vol.13 , pp. S2
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    • Guidelines for reporting and using prediction tools for genetic variation analysis
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    • Vihinen, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.