Home ›
Entities
› academia
› PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning framework
PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning framework
Research article (Journal of Theoretical Biology, 2018) · cited 150× · AI/ML
PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning framework
Summary
PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning framework is a scholarly article[1].
Key Facts
PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning framework's instance of is recorded as scholarly article[2].
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning framework. Retrieved May 24, 2026, from https://4ort.xyz/entity/prevail-an-integrative-approach-for-inferring-catalytic-residues-using-sequence-structural-and-network-features-in-a-mac
MLA“PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning framework.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prevail-an-integrative-approach-for-inferring-catalytic-residues-using-sequence-structural-and-network-features-in-a-mac.
BibTeX@misc{4ortxyz_prevail-an-integrative-approach-for-inferring-catalytic-residues-using-sequence-structural-and-network-features-in-a-mac_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning framework}}, year = {2026}, url = {https://4ort.xyz/entity/prevail-an-integrative-approach-for-inferring-catalytic-residues-using-sequence-structural-and-network-features-in-a-mac}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning framework — https://4ort.xyz/entity/prevail-an-integrative-approach-for-inferring-catalytic-residues-using-sequence-structural-and-network-features-in-a-mac (retrieved 2026-05-24)
