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Troy Hawkins

Researcher at Indiana University

Publications -  32
Citations -  967

Troy Hawkins is an academic researcher from Indiana University. The author has contributed to research in topics: Protein function prediction & Hemolytic anemia. The author has an hindex of 16, co-authored 29 publications receiving 876 citations. Previous affiliations of Troy Hawkins include Eli Lilly and Company & Indiana University – Purdue University Indianapolis.

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Enhanced automated function prediction using distantly related sequences and contextual association by PFP

TL;DR: PFP is introduced, an automated function prediction server that provides the most probable annotations for a query sequence in each of the three branches of the Gene Ontology: biological process, molecular function, and cellular component.
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PFP: Automated prediction of gene ontology functional annotations with confidence scores using protein sequence data

TL;DR: A benchmark comparison shows significant performance improvement of PFP relative to GOtcha, InterProScan, and PSI‐BLAST predictions, consistent with the performance of P FP as the overall best predictor in both the AFP‐SIG ′05 and CASP7 function assessments.
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Function prediction of uncharacterized proteins.

TL;DR: Several approaches beyond traditional sequence similarity that utilize the overwhelmingly large amounts of available data for computational function prediction, including structure-, association, interaction, interaction (cellular context)-, process, and proteomics-experiment-based methods are categorized.
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ESG: extended similarity group method for automated protein function prediction

TL;DR: The extended similarity group (ESG) method, which performs iterative sequence database searches and annotates a query sequence with Gene Ontology terms, outperforms conventional PSI-BLAST and the protein function prediction (PFP) algorithm.