Results 1 - 10 of 830,549

Hidden Markov models in computational biology: applications to protein modeling

by Anders Krogh, Michael Brown, I. Saira Mian, Kimmen Sjölander, David Haussler - JOURNAL OF MOLECULAR BIOLOGY , 1994
"... Hidden.Markov Models (HMMs) are applied t.0 the problems of statistical modeling, database searching and multiple sequence alignment of protein families and protein domains. These methods are demonstrated the on globin family, the protein kinase catalytic domain, and the EF-hand calcium binding moti ..."
Abstract - Cited by 656 (39 self) - Add to MetaCart
Hidden.Markov Models (HMMs) are applied t.0 the problems of statistical modeling, database searching and multiple sequence alignment of protein families and protein domains. These methods are demonstrated the on globin family, the protein kinase catalytic domain, and the EF-hand calcium binding

Improved methods for building protein models in electron density maps and the location of errors in these models. Acta Crystallogr. sect

by T. A. Jones, J. -y. Zou, S. W. Cowan, M. Kjeldgaard - A , 1991
"... Map interpretation remains a critical step in solving the structure of a macromolecule. Errors introduced at this early stage may persist throughout crystallo-graphic refinement and result in an incorrect struc-ture. The normally quoted crystallographic residual is often a poor description for the q ..."
Abstract - Cited by 1016 (9 self) - Add to MetaCart
for the quality of the model. Strategies and tools are described that help to alleviate this problem. These simplify the model-building process, quantify the goodness of fit of the model on a per-residue basis and locate possible errors in pep-tide and side-chain conformations.

The SWISS-MODEL Workspace: A web-based environment for protein structure homology modelling

by Konstantin Arnold, Lorenza Bordoli, Torsten Schwede, et al. - BIOINFORMATICS , 2005
"... Motivation: Homology models of proteins are of great interest for planning and analyzing biological experiments when no experimental three-dimensional structures are available. Building homology models requires specialized programs and up-to-date sequence and structural databases. Integrating all re ..."
Abstract - Cited by 555 (5 self) - Add to MetaCart
Motivation: Homology models of proteins are of great interest for planning and analyzing biological experiments when no experimental three-dimensional structures are available. Building homology models requires specialized programs and up-to-date sequence and structural databases. Integrating all

Pfam protein families database

by Robert D. Finn, John Tate, Jaina Mistry, Penny C. Coggill, Stephen John Sammut, Hans-rudolf Hotz, Goran Ceric, Kristoffer Forslund, Sean R. Eddy, Erik L. L. Sonnhammer, Alex Bateman - Nucleic Acids Research, 2008, 36(Database issue): D281–D288
"... Pfam is a comprehensive collection of protein domains and families, represented as multiple sequence alignments and as profile hidden Markov models. The current release of Pfam (22.0) contains 9318 protein families. Pfam is now based not only on the UniProtKB sequence database, but also on NCBI GenP ..."
Abstract - Cited by 748 (13 self) - Add to MetaCart
Pfam is a comprehensive collection of protein domains and families, represented as multiple sequence alignments and as profile hidden Markov models. The current release of Pfam (22.0) contains 9318 protein families. Pfam is now based not only on the UniProtKB sequence database, but also on NCBI Gen

The Pfam protein families database

by Alex Bateman, Lachlan Coin, Richard Durbin, Robert D. Finn, Volker Hollich, Ajay Khanna, Mhairi Marshall, Simon Moxon, Erik L. L. Sonnhammer, David J. Studholme, Corin Yeats, Sean R. Eddy - Nucleic Acids Res , 2002
"... Pfam is a large collection of protein families and domains. Over the past 2 years the number of families in Pfam has doubled and now stands at 6190 (version 10.0). Methodology improvements for searching the Pfam collection locally as well as via the web are described. Other recent innovations includ ..."
Abstract - Cited by 1052 (38 self) - Add to MetaCart
Pfam is a large collection of protein families and domains. Over the past 2 years the number of families in Pfam has doubled and now stands at 6190 (version 10.0). Methodology improvements for searching the Pfam collection locally as well as via the web are described. Other recent innovations

NCBI reference sequence (RefSeq): a curated non-redundant sequence database of genomes, transcripts and proteins

by Kim D. Pruitt, Tatiana Tatusova, Donna R. Maglott - Nucleic Acids Res , 2005
"... transcripts and proteins ..."
Abstract - Cited by 586 (6 self) - Add to MetaCart
transcripts and proteins

Biological sequence analysis: probabilistic models of proteins and nucleic acids

by Richard Durbin, Sean Eddy, Anders Krogh, Graeme Mitchison , 1998
"... ..."
Abstract - Cited by 1191 (21 self) - Add to MetaCart
Abstract not found

Protein Secondary Structure Prediction . . .

by David T. Jones - JO MOL B/O/. (1999) 292, 195-202 .GG , 1999
"... ..."
Abstract - Cited by 933 (19 self) - Add to MetaCart
Abstract not found

The swiss-prot protein knowledgebase and its supplement trembl in 2003

by Brigitte Boeckmann, Amos Bairoch, Rolf Apweiler, Marie-claude Blatter, Anne Estreicher, Elisabeth Gasteiger, Maria J. Martin, Karine Michoud, Isabelle Phan, Rine Pilbout, Michel Schneider - Nucleic Acids Res , 2003
"... The SWISS-PROT protein knowledgebase ..."
Abstract - Cited by 733 (15 self) - Add to MetaCart
The SWISS-PROT protein knowledgebase

Predicting Transmembrane Protein Topology with a Hidden Markov Model: Application to Complete Genomes

by Anders Krogh, Björn Larsson, Gunnar von Heijne, Erik L. L. Sonnhammer - J. MOL. BIOL , 2001
"... ..."
Abstract - Cited by 880 (16 self) - Add to MetaCart
Abstract not found
Results 1 - 10 of 830,549