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Learning to SMILE(S)
Stanisław Jastrzębski, Damian Leśniak, Wojciech Marian Czarnecki
Feb 18, 2016 (modified: Feb 18, 2016)ICLR 2016 workshop submissionreaders: everyone
Abstract:This paper shows how one can directly apply natural language processing (NLP) methods to classification problems in cheminformatics.
Connection between these seemingly separate fields is shown by considering standard textual representation of compound, SMILES.
The problem of activity prediction against a target protein is considered, which is a crucial part of computer aided drug design process.
Conducted experiments show that this way one can not only outrank state of the art results of hand crafted representations but also
gets direct structural insights into the way decisions are made.
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