Forsys Biocomputing™

is compatible with technologies

such as Java, XML, Perl, C, C++, Python, R, SQL, CUDA and MATLAB. Forsys Biocomputing™ includes mapping and analyzing DNA and protein sequences, aligning

different DNA and protein sequences to compare them and creating and viewing 3-D models of protein structures. There are two fundamental ways of modelling

a Biological system

in Forsys Biocomputing™:

 

• Static - Sequences – Proteins, Nucleic acids and Peptides - Structures – Proteins, Nucleic acids, Ligands (including meta- bolites and drugs) and Peptides - Interaction data among the above entities including microarray data and Networks of proteins, metabolites

• Dynamic - Systems Biology comes under this category including reaction fluxes and variable concentrations of metabolites - Multi-Agent Based modelling approaches capturing cellular events such as signalling, transcription and reaction dynamics - A broad sub-category under bioinformatics is structural bioinformatics.

Forsys Biocomputing™

Forsys Biocomputing™ includes a set of algorithms, databases and information systems, artificial intelligence and soft computing, information and computation theory, software engineering, data mining, image processing, modeling and simulation, signal processing, discrete mathematics, control and system theory, circuit theory, and statistics, for generating new knowledge of biology and medicine, and improving & discovering new models of compu- tation (e.g. DNA computing, neural computing evolutionary computing, immuno-computing,

swarm-computing, cellular-computing).