The HHpred Interactive Server for Protein Homology Detection and Structure Prediction
Overview
Affiliations
HHpred is a fast server for remote protein homology detection and structure prediction and is the first to implement pairwise comparison of profile hidden Markov models (HMMs). It allows to search a wide choice of databases, such as the PDB, SCOP, Pfam, SMART, COGs and CDD. It accepts a single query sequence or a multiple alignment as input. Within only a few minutes it returns the search results in a user-friendly format similar to that of PSI-BLAST. Search options include local or global alignment and scoring secondary structure similarity. HHpred can produce pairwise query-template alignments, multiple alignments of the query with a set of templates selected from the search results, as well as 3D structural models that are calculated by the MODELLER software from these alignments. A detailed help facility is available. As a demonstration, we analyze the sequence of SpoVT, a transcriptional regulator from Bacillus subtilis. HHpred can be accessed at http://protevo.eb.tuebingen.mpg.de/hhpred.
Conformational ensembles for protein structure prediction.
Yang J, Cheng W, Zhang P, Wu G, Sheng S, Yang J Sci Rep. 2025; 15(1):8513.
PMID: 40074747 PMC: 11904239. DOI: 10.1038/s41598-024-84066-z.
Logan R, Biratu M, Busila M, Busto I, Caldwell N, Chestnut P MicroPubl Biol. 2025; 2025.
PMID: 40052136 PMC: 11883469. DOI: 10.17912/micropub.biology.001443.
Genome Sequence of Mycobacterium Phage Guppsters.
Alley E, Hill L, Houglum M, Lamppa M, Pack K, Pageau H MicroPubl Biol. 2025; 2025.
PMID: 40041766 PMC: 11877149. DOI: 10.17912/micropub.biology.001450.
Zanaty A, Dishisha T, El-Sayed-Ahmed M, Abdel-Fattah M, Ahmed K, Abdelkader K Ann Clin Microbiol Antimicrob. 2025; 24(1):17.
PMID: 40022070 PMC: 11871620. DOI: 10.1186/s12941-025-00783-x.
An Actively Homing Insertion Element in a Phage Methylase Contains a Hidden HNH Endonuclease.
Arsenault D, Gosselin S, Gogarten J Genes (Basel). 2025; 16(2).
PMID: 40004507 PMC: 11855218. DOI: 10.3390/genes16020178.