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Computational prediction of antibody binding sites on tetracycline antibiotics: Electrostatic potentials and average local ionization energies on molecular surfaces

  • Pankaj Kulshrestha
  • , N. Sukumar
  • , Jane S. Murray
  • , Rossman F. Giese
  • , Troy D. Wood
  • SUNY Buffalo
  • Rensselaer Polytechnic Institute
  • University of New Orleans
  • Cleveland State University

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

Enzyme linked immunosorbent assay (ELISA) was used for the analysis of tetracycline, chlortetracycline, oxytetracycline, and their transformed compounds in environmental water samples. The antibodies employed in ELISA showed high relative affinity for tetracycline, epitetracycline, chlortetracycline, and epichlortetracycline as compared to anhydrotetracycline, epianhydrotetracycline, and anhydrochlortetracycline. The specificity and crossreactivity of these antibodies are discussed in relation to the electrostatic potentials and average local ionization energies computed on the molecular surfaces of tetracycline antibiotics and their transformed compounds with an objective of identifying common features as well as differences that may be related to the experimentally observed variation in cross-reactivity values. The computations were performed at both the HF/STO-3G and HF/6-31+G * levels using the Gaussian 98 program. The results in this study are based upon molecular electrostatic potentials and local ionization energies computed on isodensity molecular surfaces. The surface electrostatic potentials are characterized in terms of a group of statistically defined quantities, which include the average deviation, the positive, negative, and total variances, positive and negative surface extrema, and a parameter indicating the degree of electrostatic balance.

Original languageEnglish
Pages (from-to)756-766
Number of pages11
JournalJournal of Physical Chemistry A
Volume113
Issue number4
DOIs
StatePublished - Jan 29 2009

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