RedCloud Bio’s advanced structural pharmacology approach enables the Company to gain precise understanding of the detailed structure and mechanism of action for critical mutations, a crucial step for rational design and optimization of new drugs. We have integrated state-of-the-art screening algorithms and molecular dynamics / computational chemistry-based compound optimization to facilitate discovery and optimization of new small molecule drugs with unprecedented specificity and efficiency.
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Overcoming Drug Resistance At Atomic Level
Cancer cells developing resistance to existing drug therapies is a major
and growing challenge in cancer treatment. RedCloud Bio scientists have
generated experimental structural and biological data of various drug-resistance
cancer mutations, in the context of their interactions with library of promising
drug candidates.
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Solving The Problem Of
Dynamic Molecular Locks
Drug and target interactions resemble conventional“key and lock”mechanisms, albeit complicated by their respective flexibility and dynamic
properties. Understanding these properties is critical for precise, specific
drug design.
RedCloud Bio scientists utilize both experimental data and computational
approaches to simulate dynamic drug and target interactions with angstrom level
precision and to uncover hidden interactions upon induced changes, thus increases
the probability of creating new compounds towards otherwise challenging
targets.