CARDIO-PRED: an in silico tool for predicting cardiovascular-disorder associated proteins.

ABSTRACT: Interactions between proteins largely govern cellular processes and this has led to numerous efforts culminating in enormous information related to the proteins, their interactions and the function which is determined by their interactions. The main concern of the present study is to present interface analysis of cardiovascular-disorder (CVD) related proteins to shed lights on details of interactions and to emphasize the importance of using structures in network studies. This study combines the network-centred approach with three dimensional studies to comprehend the fundamentals of biology. Interface properties were used as descriptors to classify the CVD associated proteins and non-CVD associated proteins. Machine learning algorithm was used to generate a classifier based on the training

SUBMITTER: Jain P 

PROVIDER: S-EPMC4427582 | biostudies-literature | 2015 Jun

REPOSITORIES: biostudies-literature