The IPB has once again been recognized for its exemplary actions in terms of equal opportunity-oriented personnel and organizational policies and has received the TOTAL E-QUALITY certification for the…
The Plant Science Student Conference (PSSC) has been organised by students from the two Leibniz institutes, IPK and IPB, every year for the last 20 years. In this interview, Christina Wäsch (IPK) and…
Hinneburg, A.; Keim, D. A.; Brandt, W.;Clustering 3D-structures of small amino acid chains for detecting dependences from their sequential context in proteinsProc. IEEE International Symposium on Bio-Informatics and Biomedical Engineering43-49(2000)DOI: 10.1109/BIBE.2000.889588
In the past, a good number of rotamer libraries have been published, which allow a deeper understanding of the conformational behavior of amino acid residues in proteins. Since the number of available high-resolution X-ray protein structures has grown significantly over the last years, a more comprehensive analysis of the conformational behavior is possible today. In this paper, we present a method to compile a new class of rotamer libraries for detecting interesting relationships between residue conformations and their sequential context in proteins. The method is based on a new algorithm for clustering residue conformations. To demonstrate the effectiveness of our method, we apply our algorithm to a library consisting of all 8000 tripeptide fragments formed by the 20 native amino acids. The analysis shows some very interesting new results, namely that some specific tripeptide fragments show some unexpected conformation of residues instead of the highly preferred conformation. In the neighborhood of two asparagine residues, for example, threonine avoids the conformation which is most likely to occur otherwise. The new insights obtained by the analysis are important in understanding the formation and prediction of secondary structure elements and will consequently be crucial for improving the state-of-the-art of protein folding.
Publications
Gross, H. B.; Dalebout, T.; Grubb, C. D.; Abel, S.;Functional detection of chemopreventive glucosinolates in Arabidopsis thalianaPlant Sci.159265-272(2000)DOI: 10.1016/S0168-9452(00)00354-X
Natural isothiocyanates, derived from glucosinolates by myrosinase-catalyzed hydrolysis, are potent chemopreventive agents that favorably modify carcinogen metabolism in mammals by inhibiting metabolic activation of carcinogens and/or by inducing carcinogen-detoxifying enzymes. Methylsulfinylalkyl isothiocyanates are potent selective inducers of mammalian Phase 2 detoxification enzymes such as quinone reductase [NADP(H):quinone-acceptor oxidoreductase, EC 1.6.99.2]. Members of the Cruciferae family, including the model plant species Arabidopsis thaliana (L.) Heyhn, synthesize methylsulfinylalkyl glucosinolates. We have adapted a colorimetric bioassay for quinone reductase activity in Hepa 1c1c7 murine hepatoma cells as a versatile tool to rapidly monitor methylsulfinylalkyl glucosinolate content in A. thaliana leaf extracts. Using wild type plants and mutant plants defective in the synthesis of 4-methylsulfinylbutyl glucosinolate (glucoraphanin), we have demonstrated that A. thaliana (ecotype Columbia) is a rich source of Phase 2 enzyme inducers and that methylsulfinylalkyl glucosinolates, predominantly glucoraphanin, account for about 80% of the quinone reductase inducer potency of Columbia leaf extracts. We have optimized leaf extraction conditions and the quinone reductase bioassay to allow for screening of large numbers of plant extracts in a molecular genetic approach to dissecting glucosinolate biosynthesis in A. thaliana.