Márcio Luís Acencio

This study identifies 440 genes/proteins associated with atopic dermatitis severity through multi-omics analyses and highlights four with significant cross-evidence, including CEP85, which may contribute to severity via impaired phagocytosis.

This paper constructs and compares computational disease maps of ulcerative colitis and atopic dermatitis to identify shared and unique molecular mechanisms and potential therapeutic targets.

The paper presents the ISD map, an interactive resource modeling molecular mechanisms of psoriasis and atopic dermatitis, and identifies potential therapeutic targets through hypothesis generation.

The paper presents a computational framework for analyzing SARS-CoV-2-host interactions to identify drug targets and model disease mechanisms.

The paper curates a comprehensive catalogue of human DNA-binding transcription factors using Gene Ontology definitions and provides access to it via an online resource.

The paper describes the development of a computational knowledge repository, the COVID-19 Disease Map, which curates SARS-CoV-2 virus-host interaction mechanisms and provides tools for their analysis and application.

The paper introduces CausalTAB, an updated format for representing causal signaling interactions, enhancing the precision and coverage of signaling network modeling.