Periodic Reporting for period 1 - L2L (Leap-to-Lead platform for expanding Drug Discovery beyond its current limits)
Berichtszeitraum: 2018-08-01 bis 2019-01-31
We have developed and patented the Leap-to-Lead™ (L2L) concept for expanding early stage drug discovery beyond its current limits. Application of Leap-to-Lead™ substantially extends synthetic chemical space to include proprietary candidate molecules with the potential to interact with previously undruggable targets. In addition, our process results in leads with superior pharmaceutical properties that can lower the risk of downstream development and shorten the timeline needed to validate newly uncovered biological pathways. Leap-to-Lead™ consists of two major components: 1. The Comprehensive Fragment Library (CFL), which is a proprietary collection of available fragments with computational connections to a designed set of 850,000 related molecules that are selected using strict quality and pharmaceutical value criteria; 2. Then Syntheverse™ (SVS), which is a compound database of >500 Billion molecules using pre-coded feasible reaction schemes and curated reagent sets.
As results of the actions, we updated our business plan and defined main points of a subsequent Phase 2 application: work packages, objectives, tasks, and resources were defined.
In one hand, the L2L project will be highly beneficial for the pharmaceutical industry, as it will make possible fast, appropriate, and cost-effective selection of high quality lead compounds as starting points of drug discovery. On the other hand, the success of the project will impact our company by enhancing our profitability and growth. Beside the scientific and business impacts of the project, the widespread usage of L2L method will result in accelerated drug discovery, as the lead molecule will be found in less steps and in shorter time. As consequence, drug discovery activities will produce less waste. The faster and cheaper synthesis of drug candidates will lead, eventually, to less costly drugs, which will be an overall societal benefit. Furthermore, the more efficient selection of drug candidates from a broadly represented chemical space may contribute to find drugs for important and yet unmet chronic diseases.