Biomedical subjects

Donghoon Oh

Publications and source records attributed to Donghoon Oh.

4 recordsLinked to original sources

PubMed2005

A protein domain interaction interface database: InterPare.

BACKGROUND: Most proteins function by interacting with other molecules. Their interaction interfaces are highly conserved throughout evolution to avoid undesirable interactions that lead to fatal disorders in cells. Rational drug discovery includes computational methods to identify the interaction sites of lead compounds to the target molecules. Identifying and classifying protein interaction interfaces on a large scale can help researchers discover drug targets more efficiently. DESCRIPTION: We introduce a large-scale protein domain interaction interface database called InterPare http://interpare.net. It contains both inter-chain (between chains) interfaces and intra-chain (within chain) interfaces. InterPare uses three methods to detect interfaces: 1) the geometric distance method for checking the distance between atoms that belong to different domains, 2) Accessible Surface Area (ASA), a method for detecting the buried region of a protein that is detached from a solvent when forming multimers or complexes, and 3) the Voronoi diagram, a computational geometry method that uses a mathematical definition of interface regions. InterPare includes visualization tools to display protein interior, surface, and interaction interfaces. It also provides statistics such as the amino acid propensities of queried protein according to its interior, surface, and interface region. The atom coordinates that belong to interface, surface, and interior regions can be downloaded from the website. CONCLUSION: InterPare is an open and public database server for protein interaction interface information. It contains the large-scale interface data for proteins whose 3D-structures are known. As of November 2004, there were 10,583 (Geometric distance), 10,431 (ASA), and 11,010 (Voronoi diagram) entries in the Protein Data Bank (PDB) containing interfaces, according to the above three methods. In the case of the geometric distance method, there are 31,620 inter-chain domain-domain interaction interfaces and 12,758 intra-chain domain-domain interfaces.

Computers, Molecular↗

PubMed2005

Comparative interactomics analysis of protein family interaction networks using PSIMAP (protein structural interactome map).

MOTIVATION: Many genomes have been completely sequenced. However, detecting and analyzing their protein-protein interactions by experimental methods such as co-immunoprecipitation, tandem affinity purification and Y2H is not as fast as genome sequencing. Therefore, a computational prediction method based on the known protein structural interactions will be useful to analyze large-scale protein-protein interaction rules within and among complete genomes. RESULTS: We confirmed that all the predicted protein family interactomes (the full set of protein family interactions within a proteome) of 146 species are scale-free networks, and they share a small core network comprising 36 protein families related to indispensable cellular functions. We found two fundamental differences among prokaryotic and eukaryotic interactomes: (1) eukarya had significantly more hub families than archaea and bacteria and (2) certain special hub families determined the topology of the eukaryotic interactomes. Our comparative analysis suggests that a very small number of expansive protein families led to the evolution of interactomes and seemed to have played a key role in species diversification. SUPPLEMENTARY INFORMATION: http://interactomics.org.

Algorithms↗

PubMed2005

PSIbase: a database of Protein Structural Interactome map (PSIMAP).

UNLABELLED: Protein Structural Interactome map (PSIMAP) is a global interaction map that describes domain-domain and protein-protein interaction information for known Protein Data Bank structures. It calculates the Euclidean distance to determine interactions between possible pairs of structural domains in proteins. PSIbase is a database and file server for protein structural interaction information calculated by the PSIMAP algorithm. PSIbase also provides an easy-to-use protein domain assignment module, interaction navigation and visual tools. Users can retrieve possible interaction partners of their proteins of interests if a significant homology assignment is made with their query sequences. AVAILABILITY: http://psimap.org and http://psibase.kaist.ac.kr/

Binding Sites↗

PubMed2002

Structural studies of porcine myeloid antibacterial peptide PMAP-23 and its analogues in DPC micelles by NMR spectroscopy.

PMAP-23 is a cathelicidin-derived antimicrobial peptide identified from porcine leukocytes. PMAP-23 was reported to show potent antimicrobial activity against Gram-negative and Gram-positive bacteria without hemolytic activity. To study the structure-antibiotic activity relationships of PMAP-23, two analogues by replacing Trp with Ala were synthesized and their tertiary structures bound to DPC micelles have been studied by NMR spectroscopy. PMAP-23 has two alpha-helices, one from Arg1 to Arg10 in the N-terminal region and the other from Phe18 to Arg23 in the C-terminal region. PMAP-1 (Trp(7)-->Ala) shows similar structure to PMAP-23, while PMAP-2 (Trp(21)-->Ala) has a random structure in the C-terminus. PMAP-2 was found to show less antibacterial and vesicle-disrupting activities than PMAP-23 and PMAP-1 [J. H. Kang, S. Y. Shin, S. Y. Jang, K. L. Kim, and K.-S. Hahm (1999) Biochem. Biophys. Res. Commun. 264, 281-286]. Trp(21) in PMAP-23 which induces an alpha-helical structure in the second alpha-helix is essential for the antibacterial activity of PMAP-23. Also, the fluorescence data proved that Trp(21) at the second alpha-helix is buried deep into the phospholipid in the membrane. Therefore, it implies that Trp(21) in the second alpha-helix at the C-terminus of PMAP-23 may play an important role on the interactions with the membrane and the flexible region including two proline residues may allow this alpha-helix to span the lipid bilayer.

Alanine↗