Identification of the Crucial Residues in the Early Insertion of Pardaxin into Different Phospholipid Bilayers.

Antimicrobial peptides (AMPs) are part of the innate host defense system, and they are produced by living organisms to defend themselves against infections. Pardaxin is a cationic AMP with antimicrobial and antitumor activities that has potential to be used as a novel antibiotic or for drug delivery in cancer therapy. This peptide acts on the membrane of target cells and can lead to lysis using different mechanisms of action.

Genetic algorithm solution for partial digest problem.

One of the fundamental problems in computational biology is the construction of physical maps of chromosomes from the hybridisation experiments between unique probes and clones of chromosome fragments. Before introducing the shotgun sequencing method, Partial Digest Problem (PDP) was an intractable problem used to construct the physical maps of DNA sequence in molecular biology. In this paper, we develop a novel Genetic Algorithm (GA) for solving the PDP.

RANGI: a fast list-colored graph motif finding algorithm.

Given a multiset of colors as the query and a list-colored graph, i.e., an undirected graph with a set of colors assigned to each of its vertices, in the NP-hard list-colored graph motif problem the goal is to find the largest connected subgraph such that one can select a color from the set of colors assigned to each of its vertices to obtain a subset of the query.

CytoKavosh: a cytoscape plug-in for finding network motifs in large biological networks.

Network motifs are small connected sub-graphs that have recently gathered much attention to discover structural behaviors of large and complex networks. Finding motifs with any size is one of the most important problems in complex and large networks. It needs fast and reliable algorithms and tools for achieving this purpose.

Kavosh: a new algorithm for finding network motifs.

Background: Complex networks are studied across many fields of science and are particularly important to understand biological processes. Motifs in networks are small connected sub-graphs that occur significantly in higher frequencies than in random networks. They have recently gathered much attention as a useful concept to uncover structural design principles of complex networks.