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Article

A Deep Learning Model for Predicting Tumor Suppressor Genes and Oncogenes from PDB Structure

2017-08-16

Abstract excerpt

While cancer is a heterogeneous complex of distinct diseases, the common underlying mechanism for uncontrolled tumor growth is due to mutations in proto-oncogenes and the loss of the regulatory function of tumor suppression genes. In this paper we propose a novel deep learning model for predicting tumor suppression genes (TSGs) and proto-oncogenes (OGs) from their Protein Data Bank (PDB) three dimensional structur...

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Literature Corpus work
9eb6363b-8712-5092-b28d-fce597a99891
DOI
10.1101/177378
Open publication

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A Deep Learning Model for Predicting Tumor Suppressor Genes and Oncogenes from PDB StructureDOI 10.1101/177378
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