Analysis and prediction of cancerlectins using evolutionary and domain information.

ABSTRACT:

Background

Predicting the function of a protein is one of the major challenges in the post-genomic era where a large number of protein sequences of unknown function are accumulating rapidly. Lectins are the proteins that specifically recognize and bind to carbohydrate moieties present on either proteins or lipids. Cancerlectins are those lectins that play various important roles in tumor cell differentiation and metastasis. Although the two types of proteins are linked, still there is no computational method available that can distinguish cancerlectins from the large pool of non-cancerlectins. Hence, it is imperative to develop a method that can distinguish between cancer and non-cancerlectins.

Results

All the models developed in this study are based on a non-redundant datas

SUBMITTER: Kumar R 

PROVIDER: S-EPMC3161874 | biostudies-literature | 2011 Jul

REPOSITORIES: biostudies-literature