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Daniel H. Haft

Researcher at National Institutes of Health

Publications -  104
Citations -  52879

Daniel H. Haft is an academic researcher from National Institutes of Health. The author has contributed to research in topics: Genome & Gene. The author has an hindex of 64, co-authored 97 publications receiving 45318 citations. Previous affiliations of Daniel H. Haft include TigerLogic & J. Craig Venter Institute.

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HMM-based databases in InterPro

TL;DR: This paper reviews the Pfam, TIGRFAMs and SMART databases that use the profile-HMMs provided by the HMMER package to find hidden Markov models used for protein evolution and function detection.
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Permuting the PGF Signature Motif Blocks both Archaeosortase-Dependent C-Terminal Cleavage and Prenyl Lipid Attachment for the Haloferax volcanii S-Layer Glycoprotein

TL;DR: The first in vivo studies of a novel protein-anchoring pathway involving lipid modification of a peptidase-processed C terminus are reported, suggesting that ArtA is either directly or indirectly involved in a novel proteolysis-coupled, covalent lipid-mediated anchoring mechanism by prokaryotes.
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CharProtDB: a database of experimentally characterized protein annotations

TL;DR: The CharProtDB has been expanded by import of selected records from publicly available protein collections whose biocuration indicated direct rather than homology-based assignment of function.
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Simultaneous non-contiguous deletions using large synthetic DNA and site-specific recombinases

TL;DR: This method will greatly speed up the creation of reduced, modularized and optimized genomes through the integration of deletion analyses data, transcriptomics, synthetic biology and site-specific recombination.
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Both widespread PEP-CTERM proteins and exopolysaccharides are required for floc formation of Zoogloea resiniphila and other activated sludge bacteria.

TL;DR: This study demonstrates an additional requirement for a PEP-CTERM protein in Zoogloea resiniphila, a dominant AS bacterium harboring a large exopolysaccharide biosynthesis gene cluster.