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J. P. Mack

dblp:11/1610 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1993
—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
Computational science and engineering · 87% Bioinformatics and computational biology · 13%

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

TopicWeightPapersLastEvidence papers
Computational science and engineering › numerical analysis
curve fitting		 0.011993
A general method of curve fitting and error analysis using a spreadsheet: determination of the binding constants of tight binding ligands in variable volume assays · Comput. Appl. Biosci. 1993
Computational science and engineering › numerical analysis
error estimation		 0.011993
A general method of curve fitting and error analysis using a spreadsheet: determination of the binding constants of tight binding ligands in variable volume assays · Comput. Appl. Biosci. 1993
Bioinformatics and computational biology › molecular recognition
binding constant estimation		 0.011993
A general method of curve fitting and error analysis using a spreadsheet: determination of the binding constants of tight binding ligands in variable volume assays · Comput. Appl. Biosci. 1993

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

monte carlo simulation · 0.0iterative curve fitting · 0.0
YearPublicationVenuePosition
1993 A general method of curve fitting and error analysis using a spreadsheet: determination of the binding constants of tight binding ligands in variable volume assays
abstract
A generalized iterative method of curve fitting and error estimation is described, using a spreadsheet with Monte Carlo simulations. The method is demonstrated on an equilibrium binding experiment with reverse transcriptase of human immunodeficiency virus-1, in which the concentration of all reactants, including enzyme, can vary arbitrarily and any number of ligands can bind tightly.
M. D. Delahunty, J. P. Mack
 Comput. Appl. Biosci.2