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D. L. Hoffman

dblp:76/2082 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1996
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Bioinformatics and computational biology · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › sequence analysis
sequence similarity search
0.011996
BioSCAN: a network sharable computational resource for searching biosequence databases · Comput. Appl. Biosci. 1996
Bioinformatics and computational biology
protein structure analysis
0.011995
Rapid protein structure classification using one-dimensional structure profiles on the bioSCAN parallel computer · Comput. Appl. Biosci. 1995
Bioinformatics and computational biology › structural bioinformatics
protein structure classification
0.011995
Rapid protein structure classification using one-dimensional structure profiles on the bioSCAN parallel computer · Comput. Appl. Biosci. 1995

Methods — techniques the papers use, named apart from their topics

world wide web · 0.0weighted scoring matrix · 0.0pseudodihedral angle encoding · 0.0parallel sequence alignment · 0.0
YearPublicationVenuePosition
1996 BioSCAN: a network sharable computational resource for searching biosequence databases
abstract
We describe a network sharable, interactive computational tool for rapid and sensitive search and analysis of biomolecular sequence databases such as GenBank, GenPept, Protein Identification Resource, and SWISS-PROT. The resource is accessible via the World Wide Web using popular client software such as Mosaic and Netscape. The client software is freely available on a number of computing platforms including Macintosh, IBM-PC, and Unix workstations.
Raj K. Singh, D. L. Hoffman, Stephen G. Tell, C. Thomas White
Comput. Appl. Biosci.2
1995 Rapid protein structure classification using one-dimensional structure profiles on the bioSCAN parallel computer
abstract
Rapid growth of protein structures database in recent years requires an effective approach for objective comparison and classification of deposited protein structures. We describe a novel method for structure comparison and classification based on the alignment of one-dimensional structure profiles. These profiles are obtained by calculating the OCCO pseudodihedral angles (formed by O-C-C-O atoms of carbonyl groups of consecutive amino acid residues) from protein three-dimensional coordinates. These angle measurements are then converted into a 24 letter alphabet, and the protein structures are represented by sequences of letter from this alphabet. The BioSCAN parallel computer, designed for primary sequence alignment, is used to rapidly align and classify these one-dimensional structure profiles. We have developed and implemented weighted scoring matrix to identify structural classes based on commonly found structural motifs. The results of our experiments are in good agreement with the traditional protein structure classification schemes. One-dimensional structure profiles significantly improve efficiency of structure comparison and classification.
D. L. Hoffman, S. Laiter, Raj K. Singh, Iosif I. Vaisman, Alexander Tropsha
Comput. Appl. Biosci.1