Computational biology, also known as bioinformatics, is an interdisciplinary branch of science that employs mathematics, statistics, and computer science to comprehend and model the structures and processes of life. It incorporates many aspects of biology, including genetics, evolution, cell biology, and biochemistry. On a large scale, the process employs computational techniques such as algorithms to represent and simulate biological systems as well as interpret experimental data. Computational biology also aids in the understanding of disease treatment and cellular function by generating a database of biological information from amino-acid sequences, nucleotides, and macromolecular structures.

In 2020, the global computational biology market was worth more than USD 3,600.5 million, expected to develop at a CAGR of 22.5% during the study period. The increasing number of clinical studies in the field of pharmacogenomics is primarily driving the global computational biology market. This has contributed to a better understanding of the patient population’s diverse biological makeup, biological pathways, and the genomes that support them. As a result, computational biology solutions are in high demand, as they aid in reducing the overall time required for drug discovery and other scientific experiments. The procedure also facilitates the visualization of tools for simulating advanced drug-drug interactions.

The emergence of a new virus, Covid-19, has wreaked devastation over the world, with high mortality, a high rate of transmission, and a dearth of clinically approved medicines and vaccinations. Computational biology could play an important role in better understanding the viral pathogenic mechanism and proposing novel therapeutic techniques in order to identify safe and effective therapeutic solutions to treat this infectious disease.

Cellular and biological simulation is expected to maintain its market share of more than 34.0 percent by 2027. Computational cell modeling and biological simulation aid in the understanding of cells’ biological and physiological functions. Increased unmet medical needs and growing demand for personalized medicine are expected to shape the segment’s future growth. For example, HPE’s (HPE) high-performance computing capabilities are used in personalized medicine to improve healthcare delivery and patient diagnosis. Dassault Systems organized the “Living Heart Project,” which created a 3D simulated model of a human heart in this direction.

To improve their market position in the global computational industry, key players are now focusing on implementing strategies such as adopting new technology, product innovations, mergers and acquisitions, joint venture, alliances, and partnerships. For instance, Peptilogics announced the completion of Phase 1 clinical trial for PLG0206 (lead compound), a broad-spectrum anti-infective. It has received FDA Orphan Drug Designation and Qualified Infectious Disease Product Designation for its initial focus on the treatment of prosthetic joint infections (PJI).

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Tags: Chemical Computing Group, Human Body Simulation Software, Computational Genomics, Biological Simulation, Nimbus Discovery, Genedata

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