The Predictive Revolution: Rethinking Science Through Molecular Modeling
Over the past decade, molecular modeling has become an indispensable and transformative tool, impacting various fields such as drug discovery, materials science, environmental chemistry, precision medicine, and protein engineering. One of its key strengths, “prediction”, allows scientists to simulate complex molecular interactions and structural dynamics before committing to expensive experiments. This predictive power accelerates discovery processes, lowers resource expenditure, and promotes sustainable practices.
Authors
- Yoshiyuki Kawazoe (ORCID: https://orcid.org/0000-0002-2369-7045)
- Mohammad A. Ghattas (ORCID: https://orcid.org/0000-0002-2240-8037)
- Supareak Praserthdam (ORCID: https://orcid.org/0000-0002-8334-2449)
- Robert Vianello (ORCID: https://orcid.org/0000-0003-1779-4524)
- Vannajan Sanghiran Lee (ORCID: https://orcid.org/0000-0002-2911-7726)
Institutions
- Chulalongkorn University (TH)
- Al Ain University (AE)
- Tohoku University (JP)
- University of Malaya (MY)
- Ruđer Bošković Institute (HR)
Publication Details
- Published
- 2025-06-29
- DOI
- https://doi.org/10.69709/molmodc.2025.132344
- Citations
- 1
- Primary Topic
- Genetics, Bioinformatics, and Biomedical Research
- Type
- article
- Field-Weighted Citation Impact
- 0.81