Method of modeling complex formation between a query ligan...

Data processing: measuring – calibrating – or testing – Measurement system in a specific environment – Biological or biochemical

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C702S019000, C435S006120

Reexamination Certificate

active

07826979

ABSTRACT:
Computer-based methods for modeling complex formation between a query ligand and a target macromolecule are described herein. The methods can include, for example, providing a structural model of a query ligand and a structural model of a target macromolecule; identifying a substructure of the query ligand; identifying comparison ligands in a set of 3-D structural models that each share an identical substructure with the query ligand, wherein each 3-D structural model comprises a comparison ligand and a comparison macromolecule, and wherein the comparison macromolecule has structural features homologous to the target macromolecule; mapping spatial relationships between the substructure atoms of the query ligand and the comparison ligand such that corresponding atoms are identified; assigning atomic coordinates to the corresponding atoms of the query ligand; and generating one or more output models, each model comprising a 3-D structural model of the query ligand substructure and the target macromolecule. Related articles and apparatuses are also described.

REFERENCES:
patent: 5025388 (1991-06-01), Cramer, III et al.
patent: 5307287 (1994-04-01), Cramer, III et al.
patent: 6389378 (2002-05-01), Itai et al.
Bemis et al. “The Properties of Known Drugs. 1. Molecular Frameworks”J. Med. Chem. 39:2887-2893 (1996).
Kollman “Free Energy Calculations: Applications to Chemical and Biochemical Phenomena”Chem. Rev. 93:2395-2417 (1993).
Lybrand “Ligand-protein docking and rational drug design”Current Opin. in Structural Biol. 5:224-228 (1995).
Allen “The Cambridge Structural Database: a quarter of a million crystal structures and rising”Acta. Cryst. B58:380-388 (2002).
Bemis et al. “A fast and efficient method for 2D and 3D molecular shape description”J. Comp-Aided Mol. Des. 6:607-628 (1992).
Berman et al. “The Nucleic Acid Database, A Comprehensive relational database of three-dimensional structures of nucleic acids”Biophys. J. 63:751-759 (1992).
Berman et al. “The Protein Data Bank”Nuc. Acids. Res. 28(1):235-242 (2000).
Böhm et al. “The computer program LUDI: A new method for the de novo design of enzyme inhibitors”J. Comput-Aided Mol. Des. 6:61-78 (1992).
Brooks et al. “CHARMM: A Program for Macromolecular Energy, Minimization, and Dynamics Calculations”Comput. Chem. 4:187-217 (1983).
Charifson et al. “Consensus Scoring: A Method for Obtaining Improved Hit Rates from Docking Databases of Three-Dimensional Structures into Proteins”J. Med. Chem. 42:5100-5109 (1999).
Eldridge et al. “Empirical scoring functions: I. The development of a fast empirical scoring function to estimate the binding affinity of ligands in receptor complexes”J. Comput-Aided Mol. Des. 11:425-445 (1997).
Flower “SERF: A program for accessible surface area calculations”J. Mol. Graphics Model. 15:238-244 (1998).
Gasteiger et al. “Chemical Information in 3D Space”J. Chem. Inf. Comput. Sci. 36:1030-1037 (1996).
Gasteiger et al. “Automatic Generation of 3D-Atomic Coordinates for Organic Molecules”Tetrahed Comp. Meth. 3:537-547 (1990).
Gehlhaar et al. “Molecular recognition of the inhibitor AG-1343 by HIV-1 protease: conformationally flexible docking by evolutionary programming”Chem. Bio. 2:317-324 (1995).
Guex et al. “Swiss-Model and the Swiss-PdbViewer: An environment for comparative protein modeling”Electrophoresis18:2714-2723 (1997).
Halgren “Merck Molecular Force Field. I. Basis, Form, Scope, Parameterization, and Performance of MMFF94”J. Comput. Chem.17:490-519 (1996).
Halgren “Merck Molecular Force Filed. II. MMFF94 van der Waals and Electrostatic Parameters for Intermolecular Interactions”J. Comput. Chem.17:520-552 (1996).
Halgren “Merck Molecular Force Field. III. Molecular Geometries and Vibrational Frequencies for MMFF94”J. Comput. Chem17:553-586 (1996).
Holm et al. “Protein Structure Comparison by Alignment of Distance Matrices”Mol. Biol. 233:123-138 (1993).
Jones et al. “Development and Validation of a Genetic Algorithm for Flexible Docking”J. Mol. Biol. 267(3):727-748 (1997).
Jorgensen et al. “Development and Testing of the OPLS All-Atom Force Field on Conformational Energetics and Properties of Organic Liquids”J. Am. Chem. Soc. 118:11225 (1996).
Kleywegt et al. “Detecting Folding Motifs and Similarities in Protein Structures”Meth. Enzymol. 277:525-545 (1997).
Lemmen et al. “Computational methods for the structural alignment of molecules”J. Comp-Aided Molec. Des.14:215-232 (2000).
Madej et al. “Threading a Database of Protein Cores”Proteins23:356-369 (1995).
McLachlan “Rapid comparison of protein structures”Acta. Cryst. A38:871-873 (1982).
Meng et al. “Automated Docking with Grid-Based Energy Evaluation”J. Comp. Chem. 13:505-524 (1992).
Miller et al. “FLOG: A system to select ‘quasi-flexible’ ligands complementary to a receptor of known three dimensional structure”J. Comput-Aided Mol. Des. 8:153-174 (1994).
Murray et al. “Empirical scoring functions. II. The testing of an empirical scoring function for the prediction of ligand-receptor binding affinities and the use of Bayesian regression to improve the quality of the model”J. Comput-Aided Mol. Design12:503-519 (1998).
Murtagh et al. “A Survey of Recent Advances in Hierarchical Clustering Algorithms”The Computer J. 26:354-359 (1983).
Murzin et al. “SCOP: A Structural Classification of Proteins Database for the Investigation of Sequences and Structures”J. Mol. Biol. 247:536-540 (1995).
Nilakantan et al. “Topological Torsion: A New Molecular Descriptor for SAR Applications. Comparison with Other Descriptors”J. Chem. Inf. Comput. Sci.27:82-85 (1987).
Nissink et al. “A New Test Set for Validating Predictions of Protein-Ligand Interaction”Proteins49:457-471 (2002).
Pierce et al. “Kinase Inhibitors and the Case for CH—O Hydrogen Bonds in Protein-Ligand Binding”Proteins49:576 (2002).
Russell “Detection of Protein Three-dimensional Side-chain Patterns: New Examples of Convergent Evolution” J. Mol. Biol. 279:1211-1227 (1998).
Sadowski et al. “From Atoms and Bonds to Three-Dimensional Atomic Coordinates: Automatic Model Builders”Chem. Rev. 93:2567-2581 (1993).
Schmitt et al. “A New Method to Detect Related Function Among Proteins Independent of Sequence and Fold Homology”J. Mol. Biol. 323:387-406 (2002).
Shindyalov et al. “Protein structure alignment by incremental combinatorial extension (CE) of the optimal path”Protein Engin. 11(9):739-747 (1998).
Shoichet et al. “Molecular Docking Using Shape Descriptors”J. Comput. Chem. 13:380-397 (1992).
Stouch et al. “A Simple Method for the Representation, Quantification, and Comparison of the Volumes and Shapes of Chemical Compounds”J. Chem. Inf. Comput. Sci. 26:4-12 (1986).
Walters et al. “Prediction of ‘drug-likeness’”Adv. Drug Deliv. Rev. 54(3):255-271 (2002).
Walters et al. “Recognizing molecules with drug-like properties”Curr. Opin. Chem. Biol. 3(4):384-387 (1999).
Walters et al. “Virtual screening—an overview”Drug. Disc. Today3:160-178 (1998).

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Method of modeling complex formation between a query ligan... does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Method of modeling complex formation between a query ligan..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method of modeling complex formation between a query ligan... will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-4196860

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.