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Institution

Torrey Pines Institute for Molecular Studies

NonprofitSan Diego, California, United States
About: Torrey Pines Institute for Molecular Studies is a nonprofit organization based out in San Diego, California, United States. It is known for research contribution in the topics: Antigen & T cell. The organization has 2323 authors who have published 2217 publications receiving 112618 citations.


Papers
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Journal ArticleDOI
TL;DR: The question of the MT1-MMP catalytic domain folding over the triple helix during catalysis is raised, a possibility accommodated by the flexibility between domains suggested by atomic force microscopy images.

28 citations

Journal ArticleDOI
TL;DR: A fingerprint‐based representation of a large data set comprising 4181 molecules taken from the commercially available Leffingwell & Associates Canton, Georgia, USA database, shows that the flavor information contained in databases, such as that used in the present study, can be analyzed following standard chemoinformatics methods.
Abstract: Flavor perception involves, among a number of physiological and psychological processes, the recognition of chemicals by olfactory and taste receptors. The highly complex and multidimensional nature of flavor perception challenges our ability to both predict and design new flavor entities. Toward this endeavor, classifications of flavor descriptors have been proposed. Here, we developed a fingerprint-based representation of a large data set comprising 4181 molecules taken from the commercially available Leffingwell & Associates Canton, Georgia, USA database marketed as Flavor-Base Pro© 2010. Flavor descriptions of the materials in this database were composite descriptions, collected from numerous sources over the course of more than 40 years. The flavor descriptors were referenced against a detailed and authoritative sensory lexicon (ASTM, American Society for Testing and Materials publication DS 66) comprising 662 flavor attributes. Comparison of clustering analysis, principal component analysis, and descriptor associations provided similar conclusions for various mutually correlated descriptors. Regarding analysis of the flavor similarity of the molecules, the clustering performed provided a means for the quick selection of molecules with either high or low flavor similarity description. Preliminary comparison of the chemical structures to the flavor description demonstrated the feasibility but also the complexity of this task. Additional studies including different structural representations, careful selection of subsets from this data set, as well as the use of a number of classification methods will demonstrate the utility of structure–flavor associations. This work shows that the flavor information contained in databases, such as that used in the present study, can be analyzed following standard chemoinformatics methods. Copyright © 2011 John Wiley & Sons, Ltd.

28 citations

Journal ArticleDOI
TL;DR: It is shown that positional scanning combinatorial peptide libraries can be used to identify hTRT peptide analogues for inclusion in a cancer vaccine.
Abstract: Human telomerase reverse transcriptase (hTRT) is a potential target for therapeutic vaccination against cancer. Therefore, it is critically important to identify T cell epitopes useful to induce cytotoxic T cell responses. Here we used a positional scanning combinatorial peptide library to identify peptide analogues for a previously characterized low affinity hTRT peptide (p572). From an initial library containing over 300 billion different peptides and through successive rounds of selection, we retained 72 candidate peptide analogues for further assessment of antigenicity and in vivo immunogenicity in HLA A2.1-transgenic mice. While antigenically cross-reactive with p572, only a fraction of these peptides was immunogenic in mice. Immunogenicity appeared to correlate with the stability of binding to the MHC molecule and the presence of HLA A2.1 anchor residues in position 2 and 9. Two peptides differing by five residues from the reference p572 (p49 and p50) were more effective than p572 in inducing CTL cross-reacting with p572 in HLA A2.1-transgenic mice. Both peptides also expanded specific CTL in peripheral blood lymphocytes of normal human volunteers ex vivo. The present study shows that positional scanning combinatorial peptide libraries can be used to identify hTRT peptide analogues for inclusion in a cancer vaccine.

28 citations


Authors

Showing all 2327 results

NameH-indexPapersCitations
Eric J. Topol1931373151025
John R. Yates1771036129029
George F. Koob171935112521
Ian A. Wilson15897198221
Peter G. Schultz15689389716
Gerald M. Edelman14754569091
Floyd E. Bloom13961672641
Stuart A. Lipton13448871297
Benjamin F. Cravatt13166661932
Chi-Huey Wong129122066349
Klaus Ley12949557964
Nicholas J. Schork12558762131
Michael Andreeff11795954734
Susan L. McElroy11757044992
Peter E. Wright11544455388
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20235
202210
202153
202060
201950
201842