CHARMM: The biomolecular simulation program

CHARMM (Chemistry at HARvard Molecular Mechanics) is a highly versatile and widely used molecular simulation program. It has been developed over the last three decades with a primary focus on molecules of biological interest, including proteins, peptides, lipids, nucleic acids, carbohydrates, and small molecule ligands, as they occur in solution, crystals, and membrane environments. For the study of such systems, the program provides a large suite of computational tools that include numerous conformational and path sampling methods, free energy estimators, molecular minimization, dynamics, and analysis techniques, and model-building capabilities. The CHARMM program is applicable to problems involving a much broader class of many-particle systems. Calculations with CHARMM can be performed using a number of different energy functions and models, from mixed quantum mechanical-molecular mechanical force fields, to all-atom classical potential energy functions with explicit solvent and various boundary conditions, to implicit solvent and membrane models. The program has been ported to numerous platforms in both serial and parallel architectures. This article provides an overview of the program as it exists today with an emphasis on developments since the publication of the original CHARMM article in 1983. © 2009 Wiley Periodicals, Inc.J Comput Chem, 2009.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/63074/1/21287_ftp.pd

Strategies in the rational drug design

Rational design is applied in the discovery of novel lead drugs. Its rapid development is mainly attributed to the tremendous advancements in the computer science, statistics, molecular biology, biophysics, biochemistry, medicinal chemistry, pharmacokinetics and pharmacodynamics experienced in the last few decades. The promising feature that characterizes the application of rational drug design is that it uses for developing potential leads in drug discovery all known theoretical and experimental knowledge of the system under study. The utilization of the knowledge of the molecular basis of the system ultimately aims to reduce human power cost, time saving and laboratory expenses in the drug discovery. In this review paper various strategies applied for systems which include: (i) absence of knowledge of the receptor active site; (ii) the knowledge of a homology model of a receptor, (iii) the knowledge of the experimentally determined (i.e. X-ray crystallography, NMR spectroscopy) coordinates of the active site of the protein in absence and (iv) the presence of the ligand will be analyzed