Prediction of host - pathogen protein interactions between Mycobacterium tuberculosis and Homo sapiens using sequence motifs.
Prediction of host - pathogen protein interactions between Mycobacterium tuberculosis and Homo sapiens using sequence motifs.
复制标题
DOI：
10.1186/s12859-015-0535-y
复制
发表时间：
2015-03-26
影响因子：
3
通讯作者：
Rao Z
中科院分区：
文献类型：
--
作者：
Huo T;Liu W;Guo Y;Yang C;Lin J;Rao Z
Emergence of multiple drug resistant strains of M. tuberculosis (MDR-TB) threatens to derail global efforts aimed at reigning in the pathogen. Co-infections of M. tuberculosis with HIV are difficult to treat. To counter these new challenges, it is essential to study the interactions between M. tuberculosis and the host to learn how these bacteria cause disease. We report a systematic flow to predict the host pathogen interactions (HPIs) between M. tuberculosis and Homo sapiens based on sequence motifs. First, protein sequences were used as initial input for identifying the HPIs by ‘interolog’ method. HPIs were further filtered by prediction of domain-domain interactions (DDIs). Functional annotations of protein and publicly available experimental results were applied to filter the remaining HPIs. Using such a strategy, 118 pairs of HPIs were identified, which involve 43 proteins from M. tuberculosis and 48 proteins from Homo sapiens. A biological interaction network between M. tuberculosis and Homo sapiens was then constructed using the predicted inter- and intra-species interactions based on the 118 pairs of HPIs. Finally, a web accessible database named PATH (Protein interactions of M. tuberculosis and Human) was constructed to store these predicted interactions and proteins. This interaction network will facilitate the research on host-pathogen protein-protein interactions, and may throw light on how M. tuberculosis interacts with its host. The online version of this article (doi:10.1186/s12859-015-0535-y) contains supplementary material, which is available to authorized users.
登录
查看更多内容
影响因子：
3.1
作者：
Feltcher ME;Sullivan JT;Braunstein M
通讯作者：
Braunstein M
影响因子：
3.7
作者：
Dyer MD;Neff C;Dufford M;Rivera CG;Shattuck D;Bassaganya-Riera J;Murali TM;Sobral BW
通讯作者：
Sobral BW
影响因子：
7
作者：
Deng, MH;Mehta, S;Chen, T
通讯作者：
Chen, T
影响因子：
14.9
作者：
Garcia-Garcia J;Schleker S;Klein-Seetharaman J;Oliva B
通讯作者：
Oliva B
影响因子：
30.3
作者：
Botella H;Peyron P;Levillain F;Poincloux R;Poquet Y;Brandli I;Wang C;Tailleux L;Tilleul S;Charrière GM;Waddell SJ;Foti M;Lugo-Villarino G;Gao Q;Maridonneau-Parini I;Butcher PD;Castagnoli PR;Gicquel B;de Chastellier C;Neyrolles O
通讯作者：
Neyrolles O