Proteins are the most versatile macromolecules in living systems and perform crucial
biological functions. In the advent of the post-genomic era, the next generation sequencing …

Protein Function Prediction from Protein–Protein Interaction Network (PPIN) and physico-
chemical features using the Gene Ontology (GO) classification are indeed very useful for …

In the present paper, the cluster analysis as a form of unsupervised learning is implemented
for human protein class prediction. The data related to human protein is accessed from …

An in silico approach through decision tree (DT) and moving average analysis (MAA) has
been employed for development of models for prediction of anti-inflammatory activity. A data …

Fourth generation detour matrix-based topological indices for QSAR/QSPR – Part-1:
development and evaluation Page 1 Int. J. Computational Biology and Drug Design, Vol. 5, Nos …

In recent times, bioinformatics plays an increasingly important role in the study of advanced
biology. Bioinformatics deals with the management and analysis of biological information …

A game theoretic flavoured decision tree is designed for multi-class classification. Node data
is split by using a game between sub-nodes that try to minimize their entropy. The splitting …

Augmented path eccentric connectivity topochemical indices (reported in part-1 of the
manuscript) along with 42 diverse non-correlating molecular descriptors (shortlisted from a …

Drug Discovery process include target identification ie to identify a target protein whose
inhibition can destroy the pathogen. In testing phase, clinical and pre-clinical trials are done …

Predicting protein solubility has gained lots of intention in the recent years and several
descriptors have been defined to describe proteins in these works. Therefore, different …