DocumentCode
2530493
Title
Combining Simulation and Machine Learning to Recognize Function in 4D
Author
Altman, Russ Biagio
Author_Institution
Stanford Univ., Stanford
fYear
2007
fDate
2-4 Nov. 2007
Firstpage
3
Lastpage
3
Abstract
This paper is a talk by Russ Biagio Altman. It discusses structure-based protein function annotation using machine learning, physics-based simulation of structure, and how they can be profitably combined to improve our understanding of molecular structure and function.
Keywords
learning (artificial intelligence); medical computing; molecular biophysics; molecular configurations; molecular dynamics method; proteins; 4D function; machine learning; molecular conformation; molecular dynamics simulation; molecular function; molecular simulation; molecular structure; protein function annotation; protein structure; static crystal structure; structural diversity; Bioinformatics; Biology computing; Biomedical engineering; Diversity reception; Educational institutions; Engineering profession; Genomics; Machine learning; Nanobioscience; Proteins;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedicine, 2007. BIBM 2007. IEEE International Conference on
Conference_Location
Fremont, CA
Print_ISBN
978-0-7695-3031-4
Type
conf
DOI
10.1109/BIBM.2007.64
Filename
4413027
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