Rcpi: R/Bioconductor package to generate various descriptors of proteins, compounds and their interactions
Rcpi: R/Bioconductor package to generate various descriptors of proteins, compounds and their interactions
复制标题
Rcpi:R/Bioconductor 包,用于生成蛋白质、化合物及其相互作用的各种描述符
DOI:
10.1093/bioinformatics/btu624
复制
发表时间:
2015-01-15
期刊:
影响因子:
5.8
通讯作者:
Chen, Alex F.
中科院分区:
文献类型:
--
作者:
Cao, Dong-Sheng;Xiao, Nan;Chen, Alex F.
UNLABELLED
In chemoinformatics and bioinformatics fields, one of the main computational challenges in various predictive modeling is to find a suitable way to effectively represent the molecules under investigation, such as small molecules, proteins and even complex interactions. To solve this problem, we developed a freely available R/Bioconductor package, called Compound-Protein Interaction with R (Rcpi), for complex molecular representation from drugs, proteins and more complex interactions, including protein-protein and compound-protein interactions. Rcpi could calculate a large number of structural and physicochemical features of proteins and peptides from amino acid sequences, molecular descriptors of small molecules from their topology and protein-protein interaction and compound-protein interaction descriptors. In addition to main functionalities, Rcpi could also provide a number of useful auxiliary utilities to facilitate the user's need. With the descriptors calculated by this package, the users could conveniently apply various statistical machine learning methods in R to solve various biological and drug research questions in computational biology and drug discovery.
AVAILABILITY AND IMPLEMENTATION
Rcpi is freely available from the Bioconductor site (http://bioconductor.org/packages/release/bioc/html/Rcpi.html).