NDLI: ACM-BCB '17 Tutorial: Robotics-inspired Algorithms for Modeling Protein Structures and Motions

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ACM-BCB '17 Tutorial: Robotics-inspired Algorithms for Modeling Protein Structures and Motions

Content Provider	ACM Digital Library
Author	Molloy, Kevin Morris, David Shehu, Amarda
Abstract	With biomolecular structure recognized as central to understanding mechanisms in the cell, computational chemists and biophysicists have spent significant efforts on modeling structure and dynamics. While significant advances have been made, particularly in the design of sophisticated energetic models and molecular representations, such efforts are experiencing diminishing returns. One of the culprits is low exploration capability. The impasse has attracted AI researchers to offer adaptations of robot motion planning algorithms for modeling biomolecular structures and motions. This tutorial introduces students and researchers to robotics-inspired treatments and methodologies for understanding and elucidating the role of structure and dynamics in the function of biomolecules. The presentation is enhanced via an open-source software developed in the Shehu Computational Biology laboratory. The software allows researchers to integrate themselves in a new research domain and drive further research via plug-and-play capabilities. The hands-on approach in the the tutorial benefits both students and senior researchers keen to make contributions in computational structural biology.
Starting Page	628
Ending Page	628
Page Count	1
File Format	PDF
ISBN	9781450347228
DOI	10.1145/3107411.3107493
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2017-08-20
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Computational structural biology Robotics-inspired treatments Protein structure Structural rearrangements
Content Type	Text
Resource Type	Article

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