SPRINT: side-chain prediction inference toolbox for multistate protein design
SPRINT: side-chain prediction inference toolbox for multistate protein design
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DOI:
10.1093/bioinformatics/btq445
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发表时间:
2010-10-01
期刊:
影响因子:
5.8
通讯作者:
Linial, Michal
中科院分区:
文献类型:
--
作者:
Fromer, Menachem;Yanover, Chen;Linial, Michal
SPRINT is a software package that performs computational multistate protein design using state-of-the-art inference on probabilistic graphical models. The input to SPRINT is a list of protein structures, the rotamers modeled for each structure and the pre-calculated rotamer energies. Probabilistic inference is performed using the belief propagation or A* algorithms, and dead-end elimination can be applied as pre-processing. The output can either be a list of amino acid sequences simultaneously compatible with these structures, or probabilistic amino acid profiles compatible with the structures. In addition, higher order ( e. g. pairwise) amino acid probabilities can also be predicted. Finally, SPRINT also has a module for protein side-chain prediction and single-state design.