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PubMed1998

Computational methods in molecular diversity and combinatorial chemistry.

Molecular diversity, combinatorial chemistry and automated synthesis are helping usher in a new age in medicinal chemistry. The tools and practices of computational chemistry and molecular modeling are rising to the challenges and opportunities presented by the current trends in drug discovery and design. Recent advances include a number of new and meaningful measures of molecular diversity and the use of genetic algorithms to help design diverse libraries.

Algorithms↗
PubMed2004

Computational methods for the identification and optimisation of high quality leads.

Lead identification and optimisation have evolved into multidimensional, multidisciplinary and information-driven processes. Herein, we review the contribution of computational chemistry to these processes. We focus on computational approaches developed for modelling biopharmaceutical properties, including in vitro activity, selectivity, absorption, distribution, metabolism, excretion and toxicity. Whenever possible, successful applications are mentioned.

Animals↗
PubMedDate not supplied

Characterization of the conformational domains of bradykinin by computational methods.

The AMBER 4.0 force field was used to perform a characterization of the conformational profile of the nonapeptide bradykinin. A thorough conformational search was carried out using molecular dynamics as sampling technique, by computing cycles of high (900 K) and low (300 K) temperature trajectories. A total of 2400 minima were generated and subsequently clustered using the root-mean-square of the backbone dihedral angles as criterium. After the use of a tolerance value of 20 degrees, the conformations were clustered in 233 unique conformations with energies up to 40 kcal/mol above the lowest minimum. The analysis of the low-energy conformations indicate that the peptide exhibits a high tendency to adopt a beta-turn at the C-terminus and a propensity to adopt a bent structure at the N-terminus. These results are in agreement with the experimental evidence reported in the literature and provide detailed information necessary to understand the conformational preferences of the peptide.

Amino Acid Sequence↗