title: Application of the EIIP/ISM bioinformatics concept in development of new drugs.
abstract: The development of a new therapeutic drug is a complex, lengthy and expensive process. On average, only one out of 10,000 - 30,000 originally synthesized compounds will clear all the hurdles on the way to becoming a commercially available drug. The process of early and full preclinical discovery and clinical development for a new drug can take twelve to fifteen years to complete, and cost approximately 800 million dollars. The field of bioinformatics has become a major part of the drug discovery pipeline playing a key role in improvement and acceleration of this time and money consuming process. Here we reviewed the application of the EIIP/ISM bioinformatics concept for the development of new drugs. This approach, connecting the electron-ion interaction potential of organic molecules and their biological properties, can significantly reduce development time through (i) identification of promising lead compounds that have some activity against a disease by fast virtual screening of the large molecular libraries, (ii) refinement of selected lead compounds in order to increase their biological activity, and (iii) identification of domains of proteins and nucleotide sequences representing potential targets for therapy. Special attention is paid in this review to the application of the EIIP/ISM bioinformatics platform along with other experimental techniques (screening of a phage displayed peptide libraries, testing selected peptides and small molecules for antiviral activity in vitro) in development of HIV entry inhibitors, representing a new generation of the AIDS drugs.
authors.affiliation: Centre for Multidisciplinary Research, Institute of Nuclear Sciences VINCA, Belgrade 11001, Serbia. vv@vin.bg.ac.yu
authors.forename: V
authors.initials: V
authors.lastname: Veljkovic
authors.forename: N
authors.initials: N
authors.lastname: Veljkovic
authors.forename: J A
authors.initials: JA
authors.lastname: Esté
authors.forename: A
authors.initials: A
authors.lastname: Hüther
authors.forename: U
authors.initials: U
authors.lastname: Dietrich
mesh_terms: D019380:Anti-HIV Agents; D019295:Computational Biology / Q000379:methods*; D015195:Drug Design; D004353:Drug Evaluation, Preclinical / Q000379:methods; D006801:Humans; D008958:Models, Molecular; D013329:Structure-Activity Relationship
chemical_list: D019380:Anti-HIV Agents