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C U R R E N T   R E S E A R C H

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All research projects conducted by STEM Biomedical are for non-profit purposes.
Our goal is to accelerate the search for cures, and make these cures available to all who need them.
H  Y  P  O  T  H  E  T  I  C  A  ©
A simulation platform for the discovery of molecular therapeutics.
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Molecular interactions are the fundamental basis upon which life exists. More specifically, interactions between atoms (as defined by their subatomic particles) are the framework of the biophysical properties of life. A vast array of molecules are involved in sustaining life, ranging from smaller molecules (such as H₂O, glucose, individual amino acids, lipids, etc.) to larger and more complex macromolecules (such as proteins, DNA, RNA, etc.).
​The known atomic composition of these molecules in combination with properties of molecular physics can be used to generate computational simulations reflecting their natural existence. Such simulations can integrate and account for varying physiological environments, mutagenically-induced variation in structural conformation, multi-component interactions, among numerous other variables. These simulations are designed to run alongside real-time physical screens for confirmation of accuracy.
Computational simulations of biological systems serves as an avenue for identifying drug targets and the development of novel therapeutic candidates at speeds exponentially greater than laborious manual research. Running advanced simulations without diminished accuracy requires remarkable and previously unavailable computational resources, a barrier which can now be overcome through advancements in the field of supercomputing. ​
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At its core, Hypothetica relies on various mathematical expressions with input from real-world particle quantifications. These expressions are algorithmically integrated to generate large-scale simulations on the basis of single-particle accuracy.
Previous Research Publications
Ille, A. M., Kishel, E., Bodea, R., Ille, A., Lamont, H., & Amico-Ruvio, S. (2020). Protein LY6E as a candidate for mediating transport of adeno-associated virus across the human blood-brain barrier. Journal of NeuroVirology.
https://doi.org/10.1007/s13365-020-00890-9
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Molecular graphics and analyses performed with UCSF Chimera, developed by the Resource for Biocomputing, Visualization, and Informatics at the University of California, San Francisco, with support from NIH P41-GM103311. UCSF Chimera--a visualization system for exploratory research and analysis. Pettersen EF, Goddard TD, Huang CC, Couch GS, Greenblatt DM, Meng EC, Ferrin TE. J Comput Chem. 2004 Oct;25(13):1605-12.
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