| Literature DB >> 27721960 |
Charles H Williams1, Charles C Hong2.
Abstract
Target based chemical screens are a mainstay of modern drug discovery, but the effectiveness of this reductionist approach is being questioned in light of declines in pharmaceutical R & D efficiency. In recent years, phenotypic screens have gained increasing acceptance as a complementary/alternative approach to early drug discovery. We discuss the various model organisms used in phenotypic screens, with particular focus on zebrafish, which has emerged as a leading model of in vivo phenotypic screens. Additionally, we anticipate therapeutic opportunities, particularly in orphan disease space, in the context of rapid advances in human Mendelian genetics, electronic health record (EHR)-enabled genome-phenome associations, and genome editing.Entities:
Keywords: High-throughput screening; Phenome-wide association study; Phenotypic screening; Whole-organism screening
Year: 2016 PMID: 27721960 PMCID: PMC5050293 DOI: 10.1016/j.csbj.2016.09.001
Source DB: PubMed Journal: Comput Struct Biotechnol J ISSN: 2001-0370 Impact factor: 7.271
Fig. 1Comparison of model organisms used in phenotypic screens.
Commonly accepted numbers for generation time and brood size are listed, along with media for animal maintenance, evolutionary divergence, gene number and genome size [29]. Also listed, the evolutionary divergence from man and the amino acid sequence identity to the human BMP receptor ALK2 (hALK2). Unit cost: approximate cost of animals needed to screen a 96-well plate of compound libraries, in triplicate. *For mice, this is the approximate cost to purchase 288 mice from Jackson Labs. **Cost of iPSC varies significantly depending on differentiated cell type, culture methods and screening conditions. Relative throughput/ease of scalability: ++++, very high (close to in vitro HTS); +++, high (up to tens of thousands compounds/week); +, low (up to hundreds of compounds/week).
Fig. 2Proposed zebrafish phenotypic screens incorporating human genome–phenome information to accelerate therapeutic discovery.
Human genome–phenome information provided by electronic health record (EHR)-coupled DNA database and by human genetic diseases studies drive formulation of therapeutic hypotheses (“human biology-based therapeutic hypotheses”). To test these hypotheses, zebrafish models of human genetic diseases are generated by genomic editing and employed in phenotypic screen for novel or known compounds which ameliorate the disease phenotypes. These compounds are then advanced for further development, including compound optimization and testing in appropriate preclinical disease models. Alternatively, a target-agnostic morphology-based screen is carried out. Subsequently, targets of hit compounds identified, and each target evaluated in silico against human genome–phenome database to determine whether a viable therapeutic hypothesis can be formulated. If so, these hits are advanced for further development, including compound optimization and testing in appropriate preclinical disease models.