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Conference: ACS, New Orleans 2003 - 2003-03-25

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2003-03-25

COMP D

Computers in Chemistry General Contributions

8:30a, #134: Estimation of physicochemical properties of compounds by SPARC

S.H. HIlal, L.A. Carreira, S.W. Karichkoff (EPA/UGA)

  • Sparc Performs Automatic Reasoning in Chemistry: program to calc. properties and reactivity based solely on molecular structure.
  • Capabilities: chemical and physical properties.
  • Basically, it calculates a set of core properties, and all others are derived from these
    • Vapor pressure (temp)
    • Activity coefficient (temp, solv)
    • Ionization pKa (temp, pH, solv): microscopic, zwitterionic constant, molecular speciation, isoelectric point
  • Approach: Molecule is broken into functional units, each with intrinsic properties, e.g. p-amino phenol --> -NH2 = Reference point, -Ph- = Resonance, HO- = Electrostatic
  • Intermolecular interaction model: DeltaG(interaction) = DeltaG(dispersion) + DeltaG(induction) + DeltaG(dipole) + DeltaG(H-bond) + DeltaG(mix)
  • Vapor pressure model has been tested by calculating boiling points from -200 C --> 1000 C
    • Non-polars have an error of +/- 3 C
    • Polars have an error of +/- 7.5 C
  • Activity coefficient comparisons (calculated vs experimental): R^2 = 0.998, RMS = 0.064, N = 491
    • Solubility: R^2 = 0.987, RMS = 0.40, N = 647
  • Similar good correlations for ionization pKa's, etc.
  • SPARC accepts as input a SMILE string or a CAS reg number

8:55a, #135: Calculation of tautomeric equilibrium network constants using SPARC

S.N. Ayyampalayam, L.A. Carreira (EPA/UGA)

  • SPARC does not do first principle calculations, it is based on mechanistic perturbation models
  • Descriptors: density, polarizability, index of refraction, and H-bonding (alpha/beta)
  • System can calculate tautomeric equilibirum networks, irrespective from the initial input structure
  • SPARC is written in Prolog
  • URL: http://ibmlc2.chem.uga.edu/sparc

9:20a, #136: OptiDesign: Extending optimizable K-dissimilarity selection (OptiSim) for use in combinatorial library design

F. Soltanshahi, L. Alkella, R.D. Clark (TRIPOS)

  • OptiDesign: Select diverse representatives from a population
  • In 2D designs (or higher dimensionality), it uses axis pivoting for selection
  • It can do full and sparse matrix designs
  • Maximum dissimilarity approach
  • Multi-block designs also possible
  • Backtrack redesigns
  • User-defined filters, contraints, and evaluation parameters, including bias towards reagents, etc.
  • Ref: J. Mol. Graph. Model. 2000, 18, 404

9:45a, #137: Predictive toxicology using quantum QSAR descriptors from intermediates

S. Trohalaki, R. Patcher, K.T. Geiss, J.M. Frazier (Air Force Research Labs)

  • QSARs derived from
    • neutral descriptors
    • radical descriptors
    • combination of neutral and radical
  • Applied to HAs (halogen aliphatics), which exhibit toxicity, in particular liver toxicity
  • Best correlations when using both neutral and radical descriptors

10:10a, #138: WITHDRAWN

10:35a, #139: WITHDRAWN

11:00a, #140: Web services as applications' integration tool: QikProp case study

V.R. Polyakov, A. Laoul, W.L. Jorgensen (Global LG Informatics/Aventis)

  • QikProp (W. Jorgensen) is a DOS program used to predict biopharmaceutical properties
    • Caculates: solubility, adsorption, distribution, metabolism, and excretion (ADME)
    • Uses 3D descriptors for its internal calculations
    • Input format: SD or MOL (both are MDL formats)

PHYS A

Physical Chemistry Awards Symposium

2:10p, #168: Award Address (ACS Award in Theoretical Chemistry) - Quantum Chemistry in the 21st Century

Fritz Schaefer (UGA)

  • Next generation: Explicitly correlated electronic structure methods for molecules
  • "Sub-chemical" accuracy methods: approx. 0.1 kcal/mol, compared to current methods: 1.0 kcal/mol
  • Cusps appear in current orbital methods

COMP A

ACS Award for Computers in Chemical and Pharmaceutical Research

4:20p, #155: Award Address (ACS Award for Computers in Chemical and Pharmaceutical Research) - Discovery through computation

K.N. Houk



 

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