Computational chemist with experience in various techniques as they pertain to drug design. Programming skills in languages such as Fortran and C++, and familiarity with the languages Perl and Python. Outstanding verbal and written communication skills, having written grant proposals and made presentations at scientific meetings. Experience modeling phospholipids, peptides, peptide nucleic acids, proteins, carbohydrates and small drug-like molecules.Interested in anti-cancer, antibiotic, antinflammatory and central nervous system drug development.Expert knowledge of and experience in the following techniques:- Pharmacophore modeling - Homology Modeling- Binding site identification and evaluation- Docking and Scoring- Structure- and Ligand-based design- Cheminformatics- 3D-QSAR including CoMFA and CoMSIA- Molecular Dynamics simulations- Molecular visualization techniques- Database searches- Property prediction- ADME/Tox prediction- Molecular mechanics, including geometry optimizations and conformational searching- Force Field parameterization and refinement- Quantum mechanics - optimizations, frequency calculations, transition state calculations etc.- Electrostatically Embedded Many Body method- QM/MM calculationsUsed pharmacophore modeling and database searching to discover two potential anti-Parkinson's drug leads. A provisional patent application was filed for these compounds. See "SMALL MOLECULES USED IN TREATING NEUROPSYCHIATRIC DISORDERS"-patent pending.Programs used include: Sybyl, Maestro, Gaussian03/09, PipeLine Pilot, MOE, Pymol, InsightII, Cerius2, Quanta, CHARMM/CHARMm, Spartan, Mopac, Knime, LigPlot etc.Specialties: Computational chemistry, computational medicinal chemistry, cheminformatics, molecular modeling, grant proposal writing, technical writing and editing, teachingmy wiki: https://richardleowood.wikispaces.com/