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Open AccessJournal ArticleDOI

Identification and in silico analysis of functional SNPs of the BRCA1 gene.

TLDR
It is proposed that an nsSNP (rs1800751) could be an important candidate for the breast cancer caused by the BRCA1 gene from a comparison of the stabilizing residues of the native and mutant proteins.
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This article is published in Genomics.The article was published on 2007-10-01 and is currently open access. It has received 79 citations till now. The article focuses on the topics: Nonsynonymous substitution & Untranslated region.

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Identification and in silico Characterization of Deleterious Single Nucleotide Variations in Human ZP2 Gene

TL;DR: In this paper, a comprehensive in-silico analysis of all the SNPs found in hZP2 was conducted and six different computational tools including SIFT and PolyPhen-2 predicted 18 common nsSNPs as deleterious of which 12 were predicted to most likely affect the structure / functional properties.

Utilização de ferramentas computacionais para o estudo do impacto funcional e estrutural de nsSNPs em genes codificadores de proteínas

TL;DR: Fizemos a modelagem de nsSNPs nas correspondentes estruturas proteicas nativas como codificadas pelos genes, buscando determinar o impacto causado por estas variacoes utilizando diferentes metodos computacionais, tais como o docking molecular e a otimizacao de estrutsuras proteica.
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Insilico prediction and functional analysis of nonsynonymous SNPs in human CTLA4 gene

TL;DR: In this paper , the most damaging missense or non-synonymous SNPs (nsSNPs) that might be crucial for the structure and function of CTLA4 using different bioinformatics tools.
References
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Journal ArticleDOI

dbSNP: the NCBI database of genetic variation

TL;DR: The dbSNP database is a general catalog of genome variation to address the large-scale sampling designs required by association studies, gene mapping and evolutionary biology, and is integrated with other sources of information at NCBI such as GenBank, PubMed, LocusLink and the Human Genome Project data.
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SIFT: predicting amino acid changes that affect protein function

TL;DR: SIFT is a program that predicts whether an amino acid substitution affects protein function so that users can prioritize substitutions for further study and can distinguish between functionally neutral and deleterious amino acid changes in mutagenesis studies and on human polymorphisms.
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Estrogen Resistance Caused by a Mutation in the Estrogen-Receptor Gene in a Man

TL;DR: Disruption of the estrogen receptor in humans need not be lethal and is important for bone maturation and mineralization in men as well as women.
Journal ArticleDOI

Predicting Deleterious Amino Acid Substitutions

TL;DR: A tool that uses sequence homology to predict whether a substitution affects protein function is constructed, which may be used to identify plausible disease candidates among the SNPs that cause missense substitutions.
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