| Autor: |
Dong Si, Kasey Johnson, Leong Chan, Max Staples, Renzhi Cao, Connor Whyte |
| Rok vydání: |
2019 |
| Předmět: |
|
| Zdroj: |
2019 IEEE Technology & Engineering Management Conference (TEMSCON). |
| DOI: |
10.1109/temscon.2019.8813656 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
