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The increasing research and development activities are escalating the growth of the molecular modelling market. Molecular modelling is a technique utilized for the drug-designing process. It assists in describing the generation or manipulation, three-dimensional structures of molecules and physic-chemical properties. They help in studying the structures and behaviour of molecules. They are also deployed for computational biology and material science. Various computerized techniques are adopted to analyze the biological and molecular properties.
Key Growth Drivers:
- Increasing Drug Discovery and Development
Molecular modelling plays a crucial role in the drug discovery and development process. The growing demand for new and effective drugs has led to the use of molecular Modelling methods. This allows researchers to study molecular structures, predict drug-target interactions and optimize drug candidates, which speeds up the drug development process.
- Advancements in Computational Power
The continuous advancements in computational power and high-performance computing have significantly enhanced the capabilities of molecular modelling. Improved computing resources allow for faster and more accurate simulations, enabling researchers to perform complex calculations and analyze larger molecular systems in a shorter time frame.
The report outlines the involvement of key players, including:
Cresset (U.K.), Schrödinger, Inc (U.S.), Optibrium, Ltd. (U.K.), BioSolveIT GmbH (Germany), Simulations Plus (U.S.), Chemical Computing Group ULC (Canada), Certara, USA (U.S.), OpenEye Cadence Molecular Sciences. (U.S.), Dassault Systèmes (France), Thermo Fisher Scientific Inc. (U.S.), Advanced Chemistry Development, Inc. (Canada), Physiomics Plc (U.K.), Genedata AG (Switzerland), Rosa & Co., LLC (U.S.), Bioinformatics Inc. (U.S.), Bruker (U.S.), Labvantage-Biomax GmbH (Germany), and QIAGEN (Germany) among other
Key Market Segmentation
By Product (Software, Services), Approach (Molecular Mechanics Approach, Quantum Chemistry Approach), Application (Drug Development, Drug Discovery, Others), End-User (Pharmaceutical and Biotechnology Companies, Research Centers and Academic Institutions, Others)
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