https://doi.org/10.4081/bse.87
Computational molecular modelling as a platform for a deeper understanding of protein dynamics and rational drug design
Published: 11 February 2020
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
Elucidating structural features of protein aggregation at molecular level may provide novel opportunities for overarching therapeutic approaches such as blocking common aggregation-induced cellular toxicity pathways. In this context molecular modelling stimulates further research on amyloid aggregation modulators and modelling platforms can be used to test the efficiency of potential aggregation inhibitors aimed at destabilizing/reducing the stability of the amyloidogenic proteins
How to Cite
Grasso, G., Pallante, L., Tuszynski, J. A., Morbiducci, U., & Deriu, M. A. (2020). Computational molecular modelling as a platform for a deeper understanding of protein dynamics and rational drug design. Biomedical Science and Engineering, 1(1). https://doi.org/10.4081/bse.87
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