IEEE Technology & Engineering Management Conference (TEMSCON)BioinformaticsPeer-reviewed journal article
Artificial Intelligence for Bioinformatics: Applications in Protein Folding Prediction
Max Staples, Leong ChaniD, Dong SiiD, Kasey Johnson, Connor Whyte, Renzhi CaoiD
Abstract
AI recently shows great promise in the field of bioinformatics, such as protein structure prediction. The Critical Assessment of protein Structure Prediction (CASP) is a nationwide experiment that takes place biannually, which centered around analyzing the best current systems for predicting protein tertiary structures. In this paper, we research on available AI methods and features, and then explore novel methods based on reinforcement learning. Such method will have profound implications for R&D in bioinformatics and add an additional platform to the management of innovation in biotechnology.
- assay: protein structure
- research focus: protein structure prediction
- approach: machine learning (classical)
- Citations
- 10
- FWCI
- 6.78
- Field percentile
- top 3%
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