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Grzegorz Koczyk

Publications and source records attributed to Grzegorz Koczyk.

4 recordsLinked to original sources

LigProf: a simple tool for in silico prediction of ligand-binding sites.

With the increasing amount of data provided by both high-throughput sequencing and structural genomics studies, there is a growing need for tools to augment functional predictions for protein sequences. Broad descriptions of function can be provided by establishing the presence of protein domains associated with a particular function. To extend the domain-based annotation, LigProf provides predictions of potential ligands that bind to a protein, as well as critical residues that stabilize ligands. A P-value statistic for estimating the significance of motif occurrence is provided for all sites. Although the usefulness of the method will rise with increasing numbers of crystallographically solved molecules deposited in the PDB database, we show that it can already be applied successfully to the highly represented ligand-bound protein kinase domains of viral and human origin. The LigProf webserver is freely available at: http://www.cropnet.pl/ligprof . At present, LigProf descriptors annotate and extend major protein families from the PfamA database.

Binding Sites↗

Ligand.Info small-molecule Meta-Database.

Ligand.Info is a compilation of various publicly available databases of small molecules. The total size of the Meta-Database is over 1 million entries. The compound records contain calculated three-dimensional coordinates and sometimes information about biological activity. Some molecules have information about FDA drug approving status or about anti-HIV activity. Meta-Database can be downloaded from the http://Ligand.Info web page. The database can also be screened using a Java-based tool. The tool can interactively cluster sets of molecules on the user side and automatically download similar molecules from the server. The application requires the Java Runtime Environment 1.4 or higher, which can be automatically downloaded from Sun Microsystems or Apple Computer and installed during the first use of Ligand.Info on desktop systems, which support Java (Ms Windows, Mac OS, Solaris, and Linux). The Ligand.Info Meta-Database can be used for virtual high-throughput screening of new potential drugs. Presented examples showed that using a known antiviral drug as query the system was able to find others antiviral drugs and inhibitors.

Databases, Genetic↗

Resistance gene analogues of Arabidopsis thaliana: recognition by structure.

Following completion of Arabidopsis thaliana sequencing projects, multiple resistance gene analogues (RGAs) have been identified. In this work a review of the current state of knowledge available in protein databases and scientific articles is presented. Putative resistance genes were identified by using BLAST searches as well as HMM fingerprints (the latter to infer existence of characteristic domains). The representation of all five classes of putative resistance genes in Col-0 ecotype was examined, along with the statistics on RGAs present on all five chromosomes of Arabidopsis thaliana.

Arabidopsis↗

An assessment of the resistance gene analogues of Oryza sativa ssp. japonica: their presence and structure.

Rice is the first cereal genome of known draft sequence, and the finished sequence for it is now nearly complete. In this paper, we describe a preliminary analysis of known rice genes aimed to detect resistance gene analogues of known structural classes. Putative resistance genes were identified in a dual approach--by using BLASTP searches to identify candidate sequences and by using Hidden Markov Models to predict domain presence in the candidates. The set of proteins examined was obtained from the publicly available data of TIGR (The Institute for Genomic Research). 1744 distinct RGAs were identified, 597 of which belonged to the NBS-LRR class. Supplementary data (sequences and annotations) is available on the web site http:/gkoczyk.bioinfo.pl/CMBL.

Computational Biology↗