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Paper
Title

PhiDsc: Protein Hotspot Identification by 3D Structure Comparison

Year: 1398
COI: IBIS09_074
Language: EnglishView: 185
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Authors

mohamad Hussein Hoballa - Department of Computer Sciences, Faculty of Mathematics, Shahid Beheshti University, G.C, Tehran, ۱۹۸۳۹۶۳۱۱۳ Iran
Hossein Khiabanian - Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA Deparment of Pathology and Laboratory Medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA
Changiz Eslahchi - Department of Computer Sciences, Faculty of Mathematics, Shahid Beheshti University, G.C, Tehran, ۱۹۸۳۹۶۳۱۱۳ Iran. School of Biological Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, ۱۹۳۹۵۵۷۴۶ Iran

Abstract:

Selective pressures involved in cancer initiation and progression shape the mutational landscape of somatic mutations in cancer. Given the limits within which cells are regulated, a growing tumor different cells of origin often harbor identical genetic alterations. Recent expansive sequencing efforts have identified recurrent hospot mutated residues in individual genes. Here, we introduce PhiDsc, a novel statistical method developed based on the hypothesis that hotspot mutations in a recurrently aberrant gene family can guide the identification of mutated residues in the family’s individual genes with potential functional relevance. PhiDsc combines 3D structural alignment of related proteins with recurrence data for their mutated residues to calculate the probability of randomness of the proposed mutation. The application of this approach to the RAS and RHO protein families identified known mutational hotspots as well as previously unrecognized mutated residues with potentially altering effect on protein stability and function. These mutation were located in or at proximity of binding domain and were indicated as protein- altering according to eight in silico predictors.

Paper COI Code

This Paper COI Code is IBIS09_074. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/1164332/

How to Cite to This Paper:

If you want to refer to this Paper in your research work, you can simply use the following phrase in the resources section:
Hoballa, mohamad Hussein and Khiabanian, Hossein and Eslahchi, Changiz,1398,PhiDsc: Protein Hotspot Identification by 3D Structure Comparison,ninth iranian conference on on bioinformatics,Tehran,https://civilica.com/doc/1164332

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Type of center: دانشگاه دولتی
Paper count: 21,530
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