Drug Discovery Development Process Research Articles

Computer-Aided Drug Design for Undergraduates

A series of computational laboratory experiments aimed at teaching students principles of rational drug design are described and evaluated. These experiments range from an introduction to viewing protein–ligand complexes to optimizing geometries of potential drugs with quantum chemistry and automated docking. Student feedback indicates that such a course increased their appreciation for the roles of chemists in the drug discovery–development process.

Overview of Nomenclature of Nuclear Receptors

Nuclear receptor pharmacology has, to a certain extent, led the way, compared with other receptor systems, in the appreciation that ligands may exert very diverse pharmacology, based on their individual chemical structure and the allosteric changes induced in the receptor/accessory protein complex. This can lead to very selective pharmacological effects, which may not necessarily be predicted from the experience with other agonists/partial agonists/antagonists. If this is the case, then drug discovery may be back to drug-specific pharmacology (where each drug may have an original profile), rather than specific-drug pharmacology (where agents specific for a receptor have a distinct profile). As functional selectivity is indeed a crucial mechanism to be considered when going through the drug discovery development process, then initial screens using reconstituted systems may not show the appropriate pharmacology, simply because the required stoichiometry of corepressors and coactivators may not be present to select the best compounds; therefore, multiple effector systems are necessary to screen for differential activation, and, even then, screening with in vivo pathophysiological models may ultimately be required for the selection process-a massive but necessary task for pharmacologists. Thus, the characterization of nuclear receptors and their associated proteins and the ligands that interact with them will remain a challenge to pharmacologists.

Identifying the Stable Polymorph Early in the Drug Discovery-Development Process

Identifying the Stable Polymorph Early in the Drug Discovery-Development Process

Identifying the Stable Polymorph Early in the Drug Discovery–Development Process

The thermodynamically most stable polymorph under ambient conditions is almost without exception the most desirable crystalline form for development by a pharmaceutical company. It is, therefore, beneficial to discover and to characterize this polymorph at the earliest possible stage of development. A screen for discovering the stable polymorph of a pharmaceutical compound early in the drug discovery–development process is developed and described. In this screen, a small amount of compound is suspended in a diverse group of solvents for two weeks in an effort to crystallize the most stable polymorph. The solubility of the compound in each solvent utilized in the stable polymorph screen is also simultaneously determined using a simple gravimetric method. Ritonavir and an early development candidate (Pfizer compound A) are used as model compounds to demonstrate the utility of the screen for finding the stable polymorph early in the drug discovery–development process.

Impact of genomics on drug discovery and clinical medicine

Genomics, particularly high-throughput sequencing and characterization of expressed human genes, has created new opportunities for drug discovery. Knowledge of all the human genes and their functions may allow effective preventive measures, and change drug research strategy and drug discovery development processes. Pharmacogenomics is the application of genomic technologies such as gene sequencing, statistical genetics, and gene expression analysis to drugs in clinical development and on the market. It applies the large-scale systematic approaches of genomics to speed the discovery of drug response markers, whether they act at the level of the drug target, drug metabolism, or disease pathways. The potential implication of genomics and pharmacogenomics in clinical research and clinical medicine is that disease could be treated according to genetic and specific individual markers, selecting medications and dosages that are optimized for individual patients. The possibility of defining patient populations genetically may improve outcomes by predicting individual responses to drugs, and could improve safety and efficacy in therapeutic areas such as neuropsychiatry, cardiovascular medicine, endocrinology (diabetes and obesity) and oncology. Ethical questions need to be addressed and guidelines established for the use of genomics in clinical research and clinical medicine. Significant achievements are possible with an interdisciplinary approach that includes genetic, technological and therapeutic measures.