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PubMed1995

Insight into the molecular mechanisms of synaptic vesicle docking and fusion.

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Animals↗

PubMed1999

The effect of multiple binding modes on empirical modeling of ligand docking to proteins.

A popular approach to the computational modeling of ligand/receptor interactions is to use an empirical free energy like model with adjustable parameters. Parameters are learned from one set of complexes, then used to predict another set. To improve these empirical methods requires an independent way to study their inherent errors. We introduce a toy model of ligand/receptor binding as a workbench for testing such errors. We study the errors incurred from the two state binding assumption--the assumption that a ligand is either bound in one orientation, or unbound. We find that the two state assumption can cause large errors in free energy predictions, but it does not affect rank order predictions significantly. We show that fitting parameters using data from high affinity ligands can reduce two state errors; so can using more physical models that do not use the two state assumption. We also find that when using two state models to predict free energies, errors are more severe on high affinity ligands than low affinity ligands. And we show that two state errors can be diagnosed by systematically adding new binding modes when predicting free energies: if predictions worsen as the modes are added, then the two state assumption in the fitting step may be at fault.

Computer Simulation↗

PubMed2005

The double-stranded RNA-binding motif, a versatile macromolecular docking platform.

The double-stranded RNA-binding motif (dsRBM) is an alphabetabetabetaalpha fold with a well-characterized function to bind structured RNA molecules. This motif is widely distributed in eukaryotic proteins, as well as in proteins from bacteria and viruses. dsRBM-containing proteins are involved in processes ranging from RNA editing to protein phosphorylation in translational control and contain a variable number of dsRBM domains. The structural work of the past five years has identified a common mode of RNA target recognition by dsRBMs and dissected this recognition into two functionally separated interaction modes. The first involves the recognition of specific moieties of the RNA A-form helix by two protein loops, while the second is based on the interaction between structural elements flanking the RNA duplex with the first helix of the dsRBM. The latter interaction can be tuned by other protein elements. Recent work has made clear that dsRBMs can also recognize non-RNA targets (proteins and DNA), and act in combination with other dsRBMs and non-dsRBM motifs to play a regulatory role in catalytic processes. The elucidation of functional networks coordinated by dsRBM folds will require information on the precise functional relationship between different dsRBMs and a clarification of the principles underlying dsRBM-protein recognition.

Amino Acid Sequence↗

PubMed2006

The betaI/betaIII-tubulin isoforms and their complexes with antimitotic agents. Docking and molecular dynamics studies.

Both microtubule destabilizer and stabilizer agents are important molecules in anticancer therapy. In particular, paclitaxel has been demonstrated to be effective for the treatment of ovarian, breast, and nonsmall cell lung carcinomas. It has been shown that emergence of resistance against this agent correlates with an increase in the relative abundance of tubulin isoform betaIII and that the more recently discovered IDN5390 can be effectively used once resistance has emerged. In this paper, we analyze the binding modes of these antimitotic agents to type I and III isoforms of beta-tubulin by computational methods. Our results are able to provide a molecular explanation of the experimental data. Using the same protocol, we could also show that no preference for any of the two isoforms can be detected for epothilone A, a potentially very interesting drug for which no data about the emergence of resistance is currently available. Our analysis provides structural insights about the recognition mode and the stabilization mechanism of these antimitotic agents and provides useful suggestions for the design of more potent and selective antimitotic agents.

Algorithms↗

PubMed1978