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J. I. Gordon

dblp:30/3240 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1988
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 1

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
1 paper
Bioinformatics and computational biology · 100%

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
protein engineering		 0.011988
PARA-SITE: a computer algorithm for rapidly analyzing the physical- chemical properties of amino acid sequences at sites of co- and post- translational protein processing · Comput. Appl. Biosci. 1988
Bioinformatics and computational biology
protein sequence analysis		 0.011988
PARA-SITE: a computer algorithm for rapidly analyzing the physical- chemical properties of amino acid sequences at sites of co- and post- translational protein processing · Comput. Appl. Biosci. 1988
Bioinformatics and computational biology › molecular informatics › cheminformatics
structure-activity relationship analysis		 0.011988
PARA-SITE: a computer algorithm for rapidly analyzing the physical- chemical properties of amino acid sequences at sites of co- and post- translational protein processing · Comput. Appl. Biosci. 1988

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

physicochemical property analysis · 0.0
YearPublicationVenuePosition
1988 PARA-SITE: a computer algorithm for rapidly analyzing the physical- chemical properties of amino acid sequences at sites of co- and post- translational protein processing
abstract
A new algorithm is presented which can be used to examine the physical-chemical properties of amino acids at sites of co- or post-translational processing. This algorithm has been incorporated into a computer program known as PARA-SITE. Thirty different parameters can be studied for amino acids which occupy comparable positions in naturally occurring proteins. PARA-SITE should aid in the design and interpretation of protein engineering experiments which seek to dissect structure/activity relationships.
R. J. Folz, J. I. Gordon
 Comput. Appl. Biosci.2