Demo Data from VLDB 2026 / reviewers in the wild / expert
Yuhmei Lin
dblp:89/2096
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2002
—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 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › structural bioinformatics
binding affinity database |
0.0 | 1 | 2002 | The Binding Database: data management and interface design · Bioinform. 2002 |
Bioinformatics and computational biology › molecular informatics › cheminformatics
chemical structure search |
0.0 | 1 | 2002 | The Binding Database: data management and interface design · Bioinform. 2002 |
Methods — techniques the papers use, named apart from their topics
relational database · 0.0XML · 0.0SQL · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2002 | The Binding Database: data management and interface designabstractAbstract Motivation: The large and growing body of experimental data on biomolecular binding is of enormous value in developing a deeper understanding of molecular biology, in developing new therapeutics, and in various molecular design applications. However, most of these data are found only in the published literature and are therefore difficult to access and use. No existing public database has focused on measured binding affinities and has provided query capabilities that include chemical structure and sequence homology searches. Methods & results: We have created Binding DataBase (BindingDB), a public, web-accessible database of measured binding affinities. BindingDB is based upon a relational data specification for describing binding measurements via Isothermal Titration Calorimetry (ITC) and enzyme inhibition. A corresponding XML Document Type Definition (DTD) is used to create and parse intermediate files during the on-line deposition process and will also be used for data interchange, including collection of data from other sources. The on-line query interface, which is constructed with Java Servlet technology, supports standard SQL queries as well as searches for molecules by chemical structure and sequence homology. The on-line deposition interface uses Java Server Pages and JavaBean objects to generate dynamic HTML and to store intermediate results. The resulting data resource provides a range of functionality with brisk response-times, and lends itself well to continued development and enhancement. Availability: The BindingDB is publicly available at http://www.bindingdb.org. The database schema and DTD file are available at http://www.bindingdb.org/bind/entity˙report.html, and http://www.bindingdb.org/bind/deposition/xml/BindingDB.xml, respectively. Contact: [email protected] * To whom correspondence should be addressed. 2 Present address: NovaScreen, 7170 Standard Drive, Hanover, MD 21076, USA. Yuhmei Lin, Michael K. Gilson |
Bioinform. | 2 |