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Kaylee D. Rich

dblp:428/3790 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2026
0000-0002-0316-0507ORCID · 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 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › immunoinformatics
host-pathogen interaction
1.012026
mimicDetector: a pipeline for protein motif mimicry detection in host-pathogen interactions · Bioinform. 2026

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

k-mer analysis · 1.0
YearPublicationVenuePosition
2026 mimicDetector: a pipeline for protein motif mimicry detection in host-pathogen interactions
abstract
MOTIVATION: Molecular mimicry is used by pathogens to evade the host immune system and manipulate other host cellular processes. It is often mediated by short motifs in non-homologous proteins, whose detection challenges the sensitivity and specificity of existing bioinformatics tools. RESULTS: We present mimicDetector, a k-mer-based pipeline for identifying protein-level molecular mimicry between pathogens and their hosts. Applied to 17 globally important pathogens, mimicDetector identified a broad and biologically plausible set of mimicry candidates, including helminth proteins mimicking components of the human complement system and a Leishmania infantum mimic of Reticulon-4, a regulator of immune cell recruitment. AVAILABILITY AND IMPLEMENTATION: mimicDetector is freely available at https://github.com/kayleerich/mimicDetector/, implemented in Python and Snakemake, and compatible with Unix-based systems.
Kaylee D. Rich, James Wasmuth
Bioinform.1