Biological pathways and their modeling

Biological pathways are modeled for understanding and visualize networks, analysis of the various sub-steps of the pathway, study the gene expression levels, predicting outcome of various alterations made to the cells and for identification of intracellular targets for drugs and genetic engineering. One of the major challenges in developing these models is to choose the correct abstraction. Due to the large and diverse nature of biological networks, it is essential to balance computational complexity against model fidelity and to move between models of different levels of detail, using different meaning ways. Here, various computational models have been studied with respect to biological pathways. We have prepared an elaborate article for applying the various computational and machine learning approaches for modeling biochemical pathways.