Zobrazeno 1 - 10
of 36
pro vyhledávání: '"C A, Pegg"'
Autor:
Shoshana D. Brown, Scott C.-H. Pegg, Elaine C. Meng, Conrad C. Huang, Patricia C. Babbitt, Eyal Akiva, Michael A. Hicks, John H. Morris, David Mischel, Gemma L. Holliday, Thomas E. Ferrin
Publikováno v:
Database: The Journal of Biological Databases and Curation
Author(s): Holliday, Gemma L; Brown, Shoshana D; Akiva, Eyal; Mischel, David; Hicks, Michael A; Morris, John H; Huang, Conrad C; Meng, Elaine C; Pegg, Scott C-H; Ferrin, Thomas E; Babbitt, Patricia C | Abstract: With ever-increasing amounts of sequen
Autor:
P. Therese Lang, Natasja Brooijmans, Scott C.-H. Pegg, Demetri T. Moustakas, Eric F. Pettersen, Irwin D. Kuntz, Robert C. Rizzo
Publikováno v:
Journal of Computer-Aided Molecular Design. 20:601-619
We report on the development and validation of a new version of DOCK. The algorithm has been rewritten in a modular format, which allows for easy implementation of new scoring functions, sampling methods and analysis tools. We validated the sampling
Autor:
Patricia J. Chang, Patricia C. Babbitt, Elaine C. Meng, Scott C.-H. Pegg, Jennifer L. Seffernick, Thomas E. Ferrin, John H. Morris, Shoshana D. Brown, Sunil Ojha, Conrad C. Huang
Publikováno v:
Biochemistry. 45:2545-2555
The study of mechanistically diverse enzyme superfamilies-collections of enzymes that perform different overall reactions but share both a common fold and a distinct mechanistic step performed by key conserved residues-helps elucidate the structure-f
Autor:
Richard J. Jacob, Patricia C. Babbitt, Michael A. Baldwin, Scott C.-H. Pegg, Alma L. Burlingame, Ching C. Wang, Lan Huang
Publikováno v:
Journal of Biological Chemistry. 276:28327-28339
As experimental technologies for characterization of proteomes emerge, bioinformatic analysis of the data becomes essential. Separation and identification technologies currently based on two-dimensional gels/mass spectrometry provide the inherent ana
Publikováno v:
Journal of Computer-Aided Molecular Design. 15:911-933
Genetic algorithms have properties which make them attractive in de novo drug design. Like other de novo design programs, genetic algorithms require a method to reduce the enormous search space of possible compounds. Most often this is done using inf
Autor:
Scott C.-H. Pegg, Patricia C. Babbitt
Publikováno v:
Bioinformatics. 15:729-740
MOTIVATION As genomic sequencing reveals the range of structural classes generated through the evolution of proteins, analysis of the superfamilies to which they belong can contribute important insights for understanding their structure-function rela
Autor:
Shoshana D. Brown, Sunil Ojha, Patricia C. Babbitt, Conrad C. Huang, Scott C.-H. Pegg, Thomas E. Ferrin
Publikováno v:
The FASEB Journal. 20
Publikováno v:
Virtual Screening in Drug Discovery ISBN: 9780824754792
Virtual Screening in Drug Discovery
Virtual Screening in Drug Discovery
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97b0837fb5e9f51cfd2705d0fb2afd06
https://doi.org/10.1201/9781420028775.pt5
https://doi.org/10.1201/9781420028775.pt5
Autor:
Scott C H, Pegg, Shoshana, Brown, Sunil, Ojha, Conrad C, Huang, Thomas E, Ferrin, Patricia C, Babbitt
Publikováno v:
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing.
The prediction of protein function from structure or sequence data remains a problem best addressed by leveraging information available from previously determined structure-function relationships. In the case of enzymes, the study of mechanistically
Autor:
Patricia C. Babbitt, Scott C.-H. Pegg, Sunil Ojha, Conrad C. Huang, Thomas E. Ferrin, Shoshana D. Brown
Publikováno v:
Pacific Symposium on Biocomputing
The prediction of protein function from structure or sequence data remains a problem best addressed by leveraging information available from previously determined structure-function relationships. In the case of enzymes, the study of mechanistically