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Javed M. Aman

dblp:34/7978 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2025
0000-0002-5086-9287ORCID · reported

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021

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 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › protein function prediction › functional site prediction
kinase substrate prediction
0.912025
KINAID: an orthology-based kinase-substrate prediction and analysis tool for phosphoproteomics · Bioinform. 2025
Bioinformatics and computational biology › proteomics
phosphoproteomics
0.912025
KINAID: an orthology-based kinase-substrate prediction and analysis tool for phosphoproteomics · Bioinform. 2025
Bioinformatics and computational biology › proteomics › phosphoproteomics
kinase activity inference
0.312025
KINAID: an orthology-based kinase-substrate prediction and analysis tool for phosphoproteomics · Bioinform. 2025

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

orthology-based inference · 0.9enrichment analysis · 0.9clustering · 0.9
YearPublicationVenuePosition
2025 KINAID: an orthology-based kinase-substrate prediction and analysis tool for phosphoproteomics
abstract
SUMMARY: Proteome-wide datasets of phosphorylated peptides, either measured in a condition of interest or in response to perturbations, are increasingly becoming available for model organisms across the evolutionary spectrum. We introduce KINAID (KINase Activity and Inference Dashboard), an interactive and extensible tool written in Dash/Plotly, that predicts kinase-substrate interactions, uncovers and displays kinases whose substrates are enriched amongst phosphorylated peptides, interactively illustrates kinase-substrate interactions, and clusters phosphopeptides targeted by similar kinases. KINAID is the first tool of its kind that can analyze data from not only Homo sapiens but also 10 additional model organisms (including Mus musculus, Danio rerio, Drosophila melanogaster, Caenorhabditis elegans, and Saccharomyces cerevisiae). We demonstrate KINAID's utility by applying it to recently published S. cerevisiae phosphoproteomics data. AVAILABILITY AND IMPLEMENTATION: Webserver is available at https://kinaid.princeton.edu; open-source python library is available at https://github.com/Singh-Lab/kinaid; archive is available at https://doi.org/10.24433/CO.8460107.v1.
Javed M. Aman, Audrey W. Zhu, Martin Wühr, Stanislav Y. Shvartsman, Mona Singh 0001
Bioinform.1