Request for Proposals: Creative Computational Approaches to Accelerate Drug Discovery for the Treatment and Prevention of Dementia

Request for Proposals: Creative Computational Approaches to Accelerate Drug Discovery for the Treatment and Prevention of Dementia Current methods of drug discovery have had limited success at predicting clinical efficacy of investigational therapies in patients with Alzheimer’s disease and other age-related dementias. Computational modeling, systems biology and pharmacology, and translational bioinformatics represent a tremendous yet relatively under-developed opportunity to accelerate and improve this process particularly for dementias. The Alzheimer’s Drug Discovery Foundation (ADDF) program on Aging & Alzheimer’s Disease Prevention is requesting proposals for innovative computational approaches to map disease and predict the efficacy of drugs to treat and prevent dementia. A variety of approaches and outcomes will be considered. Priority will be given to interdisciplinary teams composed of computational and biology/disease experts, and to proposals that use and perhaps develop open-access databases of biological and clinical data. The winning submission(s) will present the most scientifically compelling, novel, and viable program to accelerate drug discovery. Funding Opportunity #1. Novel computational approaches to modeling drug efficacy on a key therapeutic target for Alzheimer’s disease. Quantitative systems pharmacology and other network modeling approaches are of interest, as well as translational bioinforma...
Source: ScanGrants feed - Category: Research Authors: Source Type: funding