Literature DB >> 17201401

Designing molecules with optimal properties using the linear combination of atomic potentials approach in an AM1 semiempirical framework.

Shahar Keinan1, Xiangqian Hu, David N Beratan, Weitao Yang.   

Abstract

The linear combination of atomic potentials (LCAP) approach is implemented in the AM1 semiempirical framework and is used to design molecular structures with optimized properties. The optimization procedure uses property derivative information to search molecular space and thus avoid direct enumeration and evaluation of each molecule in a library. Two tests are described: the optimization of first hyperpolarizabilities of substituted aromatics and the optimization of a figure of merit for n-type organic semiconductors.

Entities:  

Year:  2007        PMID: 17201401     DOI: 10.1021/jp0646168

Source DB:  PubMed          Journal:  J Phys Chem A        ISSN: 1089-5639            Impact factor:   2.781


  3 in total

1.  A gradient-directed Monte Carlo method for global optimization in a discrete space: application to protein sequence design and folding.

Authors:  Xiangqian Hu; David N Beratan; Weitao Yang
Journal:  J Chem Phys       Date:  2009-10-21       Impact factor: 3.488

2.  Computational design, synthesis and biological evaluation of para-quinone-based inhibitors for redox regulation of the dual-specificity phosphatase Cdc25B.

Authors:  Shahar Keinan; William D Paquette; John J Skoko; David N Beratan; Weitao Yang; Sunita Shinde; Paul A Johnston; John S Lazo; Peter Wipf
Journal:  Org Biomol Chem       Date:  2008-07-15       Impact factor: 3.876

3.  Accelerating self-consistent field convergence with the augmented Roothaan-Hall energy function.

Authors:  Xiangqian Hu; Weitao Yang
Journal:  J Chem Phys       Date:  2010-02-07       Impact factor: 3.488

  3 in total

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