The Computer-Aided Drug Design (CADD) Group is a research unit within the Chemical
Biology Laboratory (CBL) that employs, analyzes, and develops computer-based methods
to aid in the drug discovery, design, and development projects of the CBL and other
researchers at the NIH. We split our efforts evenly among support-type projects
and research projects initiated and conducted by CADD staff members.
Increasingly, we are implementing projects, and making available resources developed
by the CADD Group, in a web-based manner. This innovation offers three advantages:
(1) it frees all users, including the group members themselves, from platform restraints
and the concomitant expenses for specific software/hardware, (2) it makes resources
and results immediately available for sharing among all collaborators regardless
of their location, and (3) at the same time, without additional effort, it helps
further the mission of the NCI as a publicly funded institution by providing data
and services to the public in the most economical way for both users and developers.
Enhanced NCI Database Browser
One such project is the Enhanced NCI Database Browser used to search the 250,000-compound
Open NCI Database. This dataset is the publicly available part of the half-million
structure collection assembled by the NCI's Developmental Therapeutics Program during
the program's 45 years of screening compounds against cancer and, more recently,
AIDS. In collaboration with researchers at the Computer Chemistry Center of the
University of Erlangen-Nuremberg, we have implemented a web-based graphical user
interface for searching the structure and data in the Open NCI Database. This interface
offers the user powerful tools for searching, analyzing, and displaying search results.
With this interface in place, it is now easier to add large amounts of additional,
mostly calculated, data to the pool of searchable information. In collaboration
with a group at the Russian Academy of Medical Sciences in Moscow, predictions are
now included for more than 500 different types of biological activities for most
of the quarter-million structures in the database. A three-dimensional (3D) pharmacophore
search feature has also been implemented. Furthermore, hyperlinks to additional
services allow users immediate access to further processing of individual structures
or hit sets in a wide variety of ways. The CADD group's home page is found at http://cactus.nci.nih.gov;
the NCI Database Browser service is at http://cactus.nci.nih.gov/ncidb2/. We hope
this tool will be useful in drug design for researchers both inside and outside
the NCI.
HIV Integrase
The second main interest of our group is HIV integrase (IN) as a drug development
target. This enzyme catalyzes the integration of the viral DNA into the human DNA,
which is an essential step in the viral replication cycle. HIV has been shown to
develop rapid resistance to current inhibitors of protease and reverse transcriptase.
Because there is no known analog for IN in human cells, IN is thought to be an ideal
target for anti-AIDS drug discovery. NMR and/or x-ray crystallography techniques
have determined the structures for the separate domains of HIV-1 IN. However, an
experimental structure of the full-length protein remains unavailable. We have therefore
initiated a project that aims to utilize all the currently available experimental
results, structural, mechanistic, and otherwise, to build a model of the full-length
HIV IN protein complexed with (the ends of) the viral DNA and, possibly, also with
model stretches of host DNA. Using this model as a starting point, we plan to conduct
3D pharmacophore searches and docking studies with the goal of finding compounds
that are potent in an assay using preintegration complexes of IN and DNA.
Among our collaborators are Bernard Brooks and Yves Pommier, NIH; Wolf-Dietrich
Ihlenfeldt, Xemistry, Germany; Neamati Nouri, University of Southern California;
Vladimir Poroikov, Russian Academy of Medical Sciences, Moscow; and Anders Wallqvist,
BHSAI, USAMRMC.