E C Uberbacher
Overview
Explore the profile of E C Uberbacher including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
31
Citations
274
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Xu D, Xu Y, Uberbacher E
Curr Protein Pept Sci
. 2002 Oct;
1(1):1-21.
PMID: 12369918
Protein modeling is playing a more and more important role in protein and peptide sciences due to improvements in modeling methods, advances in computer technology, and the huge amount of...
2.
Sequence-structure specificity of a knowledge based energy function at the secondary structure level
Xu D, Unseren M, Xu Y, Uberbacher E
Bioinformatics
. 2000 Jun;
16(3):257-68.
PMID: 10869019
Motivation: This paper investigates the sequence-structure specificity of a representative knowledge based energy function by applying it to threading at the level of secondary structures of proteins. Assessing the strengths...
3.
Mural R, Parang M, Shah M, Snoddy J, Uberbacher E
Trends Genet
. 1999 Mar;
15(1):38-9.
PMID: 10087933
No abstract available.
4.
Xu Y, Xu D, Uberbacher E
J Comput Biol
. 1998 Oct;
5(3):597-614.
PMID: 9773353
Computational recognition of native-like folds of an anonymous amino acid sequence from a protein fold database is considered to be a promising approach to the three-dimensional (3D) fold prediction of...
5.
Uberbacher E, Xu Y, Shah M, Olman V, Parang M, Mural R
Pac Symp Biocomput
. 1998 Aug;
:217-27.
PMID: 9697184
This paper presents a computer system for analyzing and annotating large-scale genomic sequences. The core of the system is a multiple-gene structure identification program, which predicts the most "probable" gene...
6.
Xu Y, Uberbacher E
J Comput Biol
. 1997 Oct;
4(3):325-38.
PMID: 9278063
Computational methods for gene identification in genomic sequences typically have two phases: coding region recognition and gene parsing. While there are a number of effective methods for recognizing coding regions...
7.
Inferring gene structures in genomic sequences using pattern recognition and expressed sequence tags
Xu Y, Mural R, Uberbacher E
Proc Int Conf Intell Syst Mol Biol
. 1997 Jan;
5:344-53.
PMID: 9322060
Computational methods for gene identification in genomic sequences typically have two phases: coding region prediction and gene parsing. While there are many effective methods for predicting coding regions (exons), parsing...
8.
Xu Y, Uberbacher E
Comput Appl Biosci
. 1996 Dec;
12(6):511-7.
PMID: 9021270
This paper presents an algorithm for constructing an optimal alignment between a three-dimensional protein structure template and an amino acid sequence. A protein structure template is given as a sequence...
9.
Harp J, Uberbacher E, Roberson A, Palmer E, Gewiess A, Bunick G
Acta Crystallogr D Biol Crystallogr
. 1996 Mar;
52(Pt 2):283-8.
PMID: 15299701
Nucleosome core particles containing a DNA palindrome and purified chicken erythrocyte histone octamer have been reconstituted and crystallized. The dyad symmetry of the palindrome extends the dyad symmetry of the...
10.
Guan X, Uberbacher E
Comput Appl Biosci
. 1996 Feb;
12(1):31-40.
PMID: 8670617
Molecular sequences, like all experimental data, are subject to error. Many current DNA sequencing protocols have very significant error rates and often generate artefactual insertions and deletions of bases (indels)...