title: Discovery strategies in a BioPharmaceutical startup: maximising your chances of success using computational filters.
abstract: Small research-based pharmaceutical start-ups often lack the budget and do not have the infrastructure available to apply all possible techniques for compound selection. This review details our use of a range of techniques such as high-throughput docking and similarity searching to maximize the success rate when attempting to identify pharmaceutically relevant ligands in a resource-constrained environment.
authors.affiliation: Syrrx, Inc., 10410 Science Center Drive, San Diego, CA 92121, USA. andy.jennings@syrrx.com
authors.forename: A
authors.initials: A
authors.lastname: Jennings
authors.forename: M
authors.initials: M
authors.lastname: Tennant
mesh_terms: D002140:California; D003625:Data Collection / Q000379:methods; D015195:Drug Design; D004345:Drug Industry / Q000379:methods* / Q000639:trends; D010457:Peptidoglycan / Q000096:biosynthesis / Q000235:genetics; D049490:Systems Biology / Q000379:methods* / Q000639:trends*
chemical_list: D010457:Peptidoglycan