The MASH Pipeline for Protein Function Prediction and an Algorithm for the Geometric Refinement of 3D Motifs-Reference-Cited by-同舟云学术

The MASH Pipeline for Protein Function Prediction and an Algorithm for the Geometric Refinement of 3D Motifs

Published:2007-07 Issue:6 Volume:14 Page:791-816
ISSN:1066-5277
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Chen Brian Y.¹,Fofanov Viacheslav Y.²,Bryant Drew H.³,Dodson Bradley D.¹,Kristensen David M.⁴⁵,Lisewski Andreas M.⁵,Kimmel Marek²,Lichtarge Olivier⁴⁵,Kavraki Lydia E.¹³⁴

Affiliation:

1. Department of Computer Science, Rice University, Houston, Texas.

2. Department of Statistics, Rice University, Houston, Texas.

3. Department of Bioengineering, Rice University, Houston, Texas.

4. Structural and Computational Biology and Molecular Biophysics, Baylor College of Medicine, Houston, Texas.

5. Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modelling and Simulation

Link

http://www.liebertpub.com/doi/pdf/10.1089/cmb.2007.R017

Reference83 articles.

1. Distribution of Distances and Triangles in a Point Set and Algorithms for Computing the Largest Common Point Sets

2. Congruence, similarity, and symmetries of geometric objects

3. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs

4. A Graph-theoretic Approach to the Identification of Three-dimensional Patterns of Amino Acid Side-chains in Protein Structures

5. A computer vision based technique for 3-D sequence-independent structural comparison of proteins

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