Computational prediction of furin cleavage sites by a hybrid method and understanding mechanism underlying diseases.
Computational prediction of furin cleavage sites by a hybrid method and understanding mechanism underlying diseases.
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通过混合方法计算预测弗林蛋白酶切割位点并了解疾病的潜在机制
DOI:
10.1038/srep00261
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发表时间:
2012
影响因子:
4.6
通讯作者:
Wu, Jianhua
中科院分区:
文献类型:
--
作者:
Tian, Sun;Wang Huajun;Wu, Jianhua
Furin cleaves diverse types of protein precursors in the secretory pathway. The substrates for furin cleavage possess a specific 20-residue recognition sequence motif. In this report, based on the functional characterisation of the 20-residue sequence motif, we developed a furin cleavage site prediction tool, PiTou, using a hybrid method composed of a hidden Markov model and biological knowledge-based cumulative probability score functions. PiTou can accurately predict the presence and location of furin cleavage sites in protein sequences with high sensitivity (96.9%) and high specificity (97.3%). PiTou's prediction scores are biological meaningful and reflect binding strength and solvent accessibility of furin substrates. A prediction result is interpreted within cellular contexts: subcellular localisation, cellular function and interference by other dynamic protein modifications. Combining next-generation sequencing, PiTou can help with elucidating the molecular mechanism of furin cleavage-associated human diseases. PiTou has been made freely available at the associated website.
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影响因子:
5.6
作者:
Tian S;Huang Q;Fang Y;Wu J
通讯作者:
Wu J
影响因子:
3.5
作者:
BRENNAN, SO;NAKAYAMA, K
通讯作者:
NAKAYAMA, K
影响因子:
19
作者:
Molloy, SS;Anderson, ED;Thomas, G
通讯作者:
Thomas, G
影响因子:
7.8
作者:
Cawley, GC;Talbot, NLC
通讯作者:
Talbot, NLC
影响因子:
3.8
作者:
Tian S;Roepman P;Van't Veer LJ;Bernards R;de Snoo F;Glas AM
通讯作者:
Glas AM