Papers by Dina Schneidman
Current Opinion in Cell Biology, 2009
Dynamic processes involving macromolecular complexes are essential to cell function. These proces... more Dynamic processes involving macromolecular complexes are essential to cell function. These processes take place over a wide variety of length scales from nanometers to micrometers, and over time scales from nanoseconds to minutes. As a result, information from a variety of different experimental and computational approaches is required. We review the relevant sources of information and introduce a framework for integrating the data to produce representations of dynamic processes.
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Molecular & Cellular Proteomics, 2010
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Journal of Structural Biology
Structural modeling of macromolecular complexes greatly benefits from interactive visualization c... more Structural modeling of macromolecular complexes greatly benefits from interactive visualization capabilities. Here we present the integration of several modeling tools into UCSF Chimera. These include comparative modeling by MODELLER, simultaneous fitting of multiple components into electron microscopy density maps by IMP MultiFit, computing of small-angle X-ray scattering profiles and fitting of the corresponding experimental profile by IMP FoXS, and assessment of amino acid sidechain conformations based on rotamer probabilities and local interactions by Chimera.
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Proteins-structure Function and Bioinformatics, 2003
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Proteins-structure Function and Bioinformatics, 2007
Proteins often change their conformation upon binding to other molecules. Taking these conformati... more Proteins often change their conformation upon binding to other molecules. Taking these conformational changes into account in docking is an extremely difficult task: the larger the scale of the motion the harder it is to predict the structure of the association complex. Here, we present a fully automated method for flexible docking with large scale motion in one of the docked molecules. The method automatically identifies hinge regions and rigid parts and then docks the input molecules while explicitly considering the hinges and possible protein motions. Proteins 2007. ©2007 Wiley-Liss, Inc.
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Journal of Structural Biology, 2011
While many structures of single protein components are becoming available, structural characteriz... more While many structures of single protein components are becoming available, structural characterization of their complexes remains challenging. Methods for modeling assembly structures from individual components frequently suffer from large errors, due to protein flexibility and inaccurate scoring functions. However, when additional information is available, it may be possible to reduce the errors and compute near-native complex structures. One such type of information is a small angle X-ray scattering (SAXS) profile that can be collected in a high-throughput fashion from a small amount of sample in solution. Here, we present an efficient method for protein–protein docking with a SAXS profile (FoXSDock): generation of complex models by rigid global docking with PatchDock, filtering of the models based on the SAXS profile, clustering of the models, and refining the interface by flexible docking with FireDock. FoXSDock is benchmarked on 124 protein complexes with simulated SAXS profiles, as well as on 6 complexes with experimentally determined SAXS profiles. When induced fit is less than 1.5 Å interface Cα RMSD and the fraction residues of missing from the component structures is less than 3%, FoXSDock can find a model close to the native structure within the top 10 predictions in 77% of the cases; in comparison, docking alone succeeds in only 34% of the cases. Thus, the integrative approach significantly improves on molecular docking alone. The improvement arises from an increased resolution of rigid docking sampling and more accurate scoring.
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Nucleic Acids Research, 2011
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Nucleic Acids Research, 2010
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European Journal of Medicinal Chemistry, 2008
Deoxypodophyllotoxin is stereoselectively converted into epipodophyllotoxin by recombinant human ... more Deoxypodophyllotoxin is stereoselectively converted into epipodophyllotoxin by recombinant human cytochrome P450 3A4 (CYP3A4). Further kinetic analysis revealed that the Michaelis–Menten Km and Vmax for hydroxylation of deoxypodophyllotoxin by CYP3A4 at C7 position were 1.93 μM and 1.48 nmol/min/nmol, respectively. Deoxypodophyllotoxin was subjected to automated docking analysis in order to get better knowledge of the interaction between the CYP3A4 enzyme and the substrate, using the PatchDock algorithm with distance constraints. Automated docking showed that the β-hydrogen atom at C7 position is in the most appropriate binding orientation at the site of oxidation. The docking results are consistent with the experimental data for the bioconversion of deoxypodophyllotoxin into epipodophyllotoxin by CYP3A4. In addition, the effects of five lignans, deoxypodophyllotoxin, epipodophyllotoxin, podophyllotoxin, demethylenedeoxypodophyllotoxin, and demethylenepodophyllotoxin, on CYP3A4 were compared in order to investigate the influence of the methylenedioxy group on the biotransformation process, to give insight into the mode of metabolization and to explain inhibitory activity of lignans.
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Planta Medica, 2008
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Current Medicinal Chemistry, 2004
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PLOS Biology, 2012
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Journal of Computational Biology, 2008
We present a novel highly efficient method for the detection of a pharmacophore from a set of dru... more We present a novel highly efficient method for the detection of a pharmacophore from a set of drug-like ligands that interact with a target receptor. A pharmacophore is a spatial arrangement of physico-chemical features in a ligand that is essential for the interaction with a specific receptor. In the absence of a known three-dimensional (3D) receptor structure, a pharmacophore can be identified from a multiple structural alignment of ligand molecules. The key advantages of the presented algorithm are: (a) its ability to multiply align flexible ligands in a deterministic manner, (b) its ability to focus on subsets of the input ligands, which may share a large common substructure, resulting in the detection of both outlier molecules and alternative binding modes, and (c) its computational efficiency, which allows to detect pharmacophores shared by a large number of molecules on a standard PC. The algorithm was extensively tested on a dataset of almost 80 ligands acting on 12 different receptors. The results, which were achieved using a set of standard default parameters, were consistent with reference pharmacophores that were derived from the bound ligand-receptor complexes. The pharmacophores detected by the algorithm are expected to be a key component in the discovery of new leads by screening large databases of drug-like molecules. A user-friendly web interface is available at http://bioinfo3d.cs.tau.ac.il/pharma. Supplementary material can be found at http://bioinfo3d.cs.tau.ac.il/pharma/reduction/.
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Journal of Chemical Information and Modeling, 2009
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We present a novel highly efficient method for the detection of a pharmacophore from a set of lig... more We present a novel highly efficient method for the detection of a pharmacophore from a set of ligands/drugs that interact with a target receptor. A pharmacophore is a spatial arrangement of physico-chemical features in a ligand that is responsible for the interaction with a specific receptor. In the absence of a known 3D receptor structure, a pharmacophore can be identified from a multiple structural alignment of the ligand molecules. The key advantages of the presented algorithm are: (a) its ability to multiply align flexible ligands in a deterministic manner, (b) its ability to focus on subsets of the input ligands, which may share a large common substructure, resulting in the detection of both outlier molecules and alternative binding modes, and (c) its computational efficiency, which allows to detect pharmacophores shared by a large number of molecules on a standard PC. The algorithm was extensively tested on a dataset of almost 80 ligands acting on 12 different receptors. The results, which were achieved using a standard default parameter set, were consistent with reference pharmacophores that were derived from the bound ligand-receptor complexes. The pharmacophores detected by the algorithm are expected to be a key component in the discovery of new leads by screening large drug-like molecule databases. Supplementary Material: http://bioinfo3d.cs.tau.ac.il/pharma/supp.html
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Nucleic Acids Research, 2004
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Nucleic Acids Research, 2008
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Current Protein & Peptide Science, 2005
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Nucleic Acids Research, 2008
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BMC Systems Biology, 2008
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Papers by Dina Schneidman