Crowd sourcing difficult problems in protein science

被引:1
|
作者
Alexander, Nathan S. [1 ]
Palczewski, Krzysztof [1 ,2 ]
机构
[1] Case Western Reserve Univ, Sch Med, Dept Pharmacol, 10900 Euclid Ave, Cleveland, OH 44106 USA
[2] Case Western Reserve Univ, Cleveland Ctr Membrane & Struct Biol, Cleveland, OH 44106 USA
基金
美国国家卫生研究院;
关键词
distributed computing; volunteer computing; crowd sourcing; protein structure prediction; interaction networks; protein-ligand docking; STRUCTURE PREDICTION; GEOMETRIES; DISCOVERY; NETWORKS; PLAYERS; DOCKING; GAME;
D O I
10.1002/pro.3247
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Dedicated computing resources are expensive to develop, maintain, and administrate. Frequently, research groups require bursts of computing power, during which progress is still limited by available computing resources. One way to alleviate this bottleneck would be to use additional computing resources. Today, many computing devices remain idle most of the time. Passive volunteer computing exploits this unemployed reserve of computing power by allowing device-owners to donate computing time on their own devices. Another complementary way to alleviate bottlenecks in computing resources is to use more efficient algorithms. Engaging volunteer computing employs human intuition to help solve challenging problems for which efficient algorithms are difficult to develop or unavailable. Designing engaging volunteer computing projects is challenging but can result in high-quality solutions. Here, we highlight four examples.
引用
收藏
页码:2118 / 2125
页数:8
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