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Biomedical subjects

J Heringa

Publications and source records attributed to J Heringa.

24 records · Page 2Linked to original sources
PubMed1993

The KH domain occurs in a diverse set of RNA-binding proteins that include the antiterminator NusA and is probably involved in binding to nucleic acid.

New findings are presented for the approximately 50 residue KH motif, a domain recently discovered in RNA-binding proteins. The conserved sequence is approximately 10 residues larger than previously reported. Profile searches have revealed new members of this family, including two, E. coli NusA and human GAP-associated p62 phosphoprotein, for which RNA-binding data exists. A nusA homolog was detected in the RNA polymerase gene complex of six archaebacterial species and may encode an antiterminator. All KH-containing proteins are linked with RNA and the KH motif most probably functions as a nucleic acid binding domain.

Bacterial Proteins↗
PubMed1993

A method to recognize distant repeats in protein sequences.

An automated algorithm is presented that delineates protein sequence fragments which display similarity. The method incorporates a selection of a number of local nonoverlapping sequence alignments with the highest similarity scores and a graph-theoretical approach to elucidate the consistent start and end points of the fragments comprising one or more ensembles of related subsequences. The procedure allows the simultaneous identification of different types of repeats within one sequence. A multiple alignment of the resulting fragments is performed and a consensus sequence derived from the ensemble(s). Finally, a profile is constructed from the multiple alignment to detect possible and more distant members within the sequence. The method tolerates mutations in the repeats as well as insertions and deletions. The sequence spans between the various repeats or repeat clusters may be of different lengths. The technique has been applied to a number of proteins where the repeating fragments have been derived from information additional to the protein sequences.

Algorithms↗
PubMed1992

Anatomy and evolution of proteins displaying the viral capsid jellyroll topology.

In this paper the anatomy of 25 structures containing a jellyroll motif, consisting of eight antiparallel beta-strands forming a so-called beta-barrel, was investigated. This involved performing a careful structural alignment based on hydrogen bonds for the equivalent regions of the tertiary folds and a subsequent analysis of conserved amino acids, equivalenced residue-residue contacts, and various parameters describing the size, shape and other geometrical characteristics of these regions. It was found that the jellyroll motif is best viewed as a two-sheet wedge structure rather than a barrel. The more conserved parameters are discussed. A model of evolutionary development for the jellyroll fold in the various protein and viral structures is proposed.

Amino Acid Sequence↗
PubMed1992

OBSTRUCT: a program to obtain largest cliques from a protein sequence set according to structural resolution and sequence similarity.

A program OBSTRUCT has been developed to obtain the largest possible subset according to specific constraints from a set of protein sequences whose tertiary structures have been determined crystallographically. The user can request a range in sequence similarity level and/or structural resolution. The program optionally includes sequences with known three-dimensional folds elicited from NMR data.

Protein Conformation↗
PubMed1991

Side-chain clusters in protein structures and their role in protein folding.

A method has been developed to detect dense clusters of residue side-chains in proteins, where contact is based upon the percentage of the maximum possible for a given residue type. The clusters represent protein sites with the highest degree of interaction amongst their member residues, while contacts with the environment surrounding the cluster are lower in number. The method has been applied to three distinct structural sets of proteins to check for consistency: mixed alpha-helical/beta-sheet proteins, all beta-strand proteins, and all alpha-helical proteins. A number of cluster features generated from these sets are of general interest for protein folding. (1) A majority of the clusters, comprising three to four residues on average, are localized near the protein surfaces and not within the protein cores. (2) The clusters have preferences for the N- and C-terminal ends of alpha-helices and beta-strands in alpha/beta and alpha-proteins, while beta-proteins utilize the middle strand regions more often. A number of clusters connect three or more beta-strands and/or alpha-helices. (3) More than half of the clusters display residue pairs with oppositely charged atoms within 4.5 A of each other. (4) The residue composition of the clusters does not show correlation with hydrophobicity measures but rather with side-chain volume and surface. The highly preferred cluster residues are (in order of decreasing preference) Trp, His, Arg, Tyr, Glu, Gln and Phe. Clusters with extensive internal contacts in related haemoglobin and immunoglobulin tertiary structures show respective conservation. Several examples illustrate "strategic" folding positions in proteins that often bring together a number of sheets and/or helices, suggesting a folding model in which largely preformed secondary structures are joined together in a cluster induced collapse. Alternatively, the clusters may form at some stage in the folding process to reduce considerably the searchable conformational space and help maintain the proper folding pathway. The clusters also provide hints for site-directed mutagenesis and protein engineering experiments as they are also suggested to be important for structural stability.

Amino Acid Sequence↗