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Michael K Gilson

Publications and source records attributed to Michael K Gilson.

5 recordsLinked to original sources

Proflavine acts as a Rev inhibitor by targeting the high-affinity Rev binding site of the Rev responsive element of HIV-1.

Rev is an essential regulatory HIV-1 protein that binds the Rev responsive element (RRE) within the env gene of the HIV-1 RNA genome, activating the switch between viral latency and active viral replication. Previously, we have shown that selective incorporation of the fluorescent probe 2-aminopurine (2-AP) into a truncated form of the RRE sequence (RRE-IIB) allowed the binding of an arginine-rich peptide derived from Rev and aminoglycosides to be characterized directly by fluorescence methods. Using these fluorescence and nuclear magnetic resonance (NMR) methods, proflavine has been identified, through a limited screen of selected small heterocyclic compounds, as a specific and high-affinity RRE-IIB binder which inhibits the interaction of the Rev peptide with RRE-IIB. Direct and competitive 2-AP fluorescence binding assays reveal that there are at least two classes of proflavine binding sites on RRE-IIB: a high-affinity site that competes with the Rev peptide for binding to RRE-IIB (K(D) approximately 0.1 +/- 0.05 microM) and a weaker binding site(s) (K(D) approximately 1.1 +/- 0.05 microM). Titrations of RRE-IIB with proflavine, monitored using (1)H NMR, demonstrate that the high-affinity proflavine binding interaction occurs with a 2:1 (proflavine:RRE-IIB) stoichiometry, and NOEs observed in the NOESY spectrum of the 2:1 proflavine.RRE-IIB complex indicate that the two proflavine molecules bind specifically and close to each other within a single binding site. NOESY data further indicate that formation of the 2:1 proflavine.RRE-IIB complex stabilizes base pairing and stacking within the internal purine-rich bulge of RRE-IIB in a manner analogous to what has been observed in the Rev peptide.RRE-IIB complex. The observation that proflavine competes with Rev for binding to RRE-IIB by binding as a dimer to a single high-affinity site opens the possibility for rational drug design based on linking and modifying it and related compounds.

2-Aminopurine↗

Accelerated Poisson-Boltzmann calculations for static and dynamic systems.

We report here an efficient implementation of the finite difference Poisson-Boltzmann solvent model based on the Modified Incomplete Cholsky Conjugate Gradient algorithm, which gives rather impressive performance for both static and dynamic systems. This is achieved by implementing the algorithm with Eisenstat's two optimizations, utilizing the electrostatic update in simulations, and applying prudent approximations, including: relaxing the convergence criterion, not updating Poisson-Boltzmann-related forces every step, and using electrostatic focusing. It is also possible to markedly accelerate the supporting routines that are used to set up the calculations and to obtain energies and forces. The resulting finite difference Poisson-Boltzmann method delivers efficiency comparable to the distance-dependent dielectric model for a system tested, HIV Protease, making it a strong candidate for solution-phase molecular dynamics simulations. Further, the finite difference method includes all intrasolute electrostatic interactions, whereas the distance dependent dielectric calculations use a 15-A cutoff. The speed of our numerical finite difference method is comparable to that of the pair-wise Generalized Born approximation to the Poisson-Boltzmann method.

Algorithms↗

Enhanced docking with the mining minima optimizer: acceleration and side-chain flexibility.

The ligand-protein docking algorithm based on the Mining Minima method has been substantially enhanced. First, the basic algorithm is accelerated by: (1) adaptively determining the extent of each energy well to help avoid previously discovered energy minima; (2) biasing the search away from ligand positions at the surface of the receptor to prevent the ligand from staying at the surface when large sampling regions are used; (3) quickly testing multiple different ligand positions and orientations for each ligand conformation; and (4) tuning the source code to increase computational efficiency. These changes markedly shorten the time needed to discover an accurate result, especially when large sampling regions are used. The algorithm now also allows user-selected receptor sidechains to be treated as mobile during the docking procedure. The energies associated with the mobile side chains are computed as if they belonged to the ligand, except that atoms at the boundary between side chains and the rigid backbone are treated specially. This new capability is tested for several well-known ligand/protein systems, and preliminary application to an enzyme whose substrate is unknown--the recently solved hypothetical protein YecO (HI0319) from Haemophilus influenzae--indicates that side-chains relaxations allow candidate substrates of various sizes to be accommodated.

Algorithms↗

The Binding Database: data management and interface design.

MOTIVATION: The large and growing body of experimental data on biomolecular binding is of enormous value in developing a deeper understanding of molecular biology, in developing new therapeutics, and in various molecular design applications. However, most of these data are found only in the published literature and are therefore difficult to access and use. No existing public database has focused on measured binding affinities and has provided query capabilities that include chemical structure and sequence homology searches. METHODS & RESULTS: We have created Binding DataBase (BindingDB), a public, web-accessible database of measured binding affinities. BindingDB is based upon a relational data specification for describing binding measurements via Isothermal Titration Calorimetry (ITC) and enzyme inhibition. A corresponding XML Document Type Definition (DTD) is used to create and parse intermediate files during the on-line deposition process and will also be used for data interchange, including collection of data from other sources. The on-line query interface, which is constructed with Java Servlet technology, supports standard SQL queries as well as searches for molecules by chemical structure and sequence homology. The on-line deposition interface uses Java Server Pages and JavaBean objects to generate dynamic HTML and to store intermediate results. The resulting data resource provides a range of functionality with brisk response-times, and lends itself well to continued development and enhancement.

Binding Sites↗