Institution
Torrey Pines Institute for Molecular Studies
Nonprofit•San 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.
Topics: Antigen, T cell, Peptide, Solid-phase synthesis, Cytotoxic T cell
Papers published on a yearly basis
Papers
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TL;DR: Activity cliffs and scaffold hops were quantified and represented using two recently proposed approaches namely, mean Structure Activity Landscape Index (mean SALI) and Consensus Structure-Activity Similarity (SAS) maps.
Abstract: Dual and triple activity-difference (DAD/TAD) maps are tools for the systematic characterization of structure–activity relationships (SAR) of compound data sets screened against two or three targets. DAD and TAD maps are two- and three- dimensional representations of the pairwise activity differences of compound data sets, respectively. Adding pairwise structural similarity information into these maps readily reveals activity cliff regions in the SAR for one, two, or three targets. In addition, pairs of compounds in the smooth regions of the SAR and scaffold hops are also easily identified in these maps. Herein, DAD and TAD maps are employed for the systematic characterization of the SAR of a benchmark set of 299 compounds screened against dopamine, norepinephrine, and serotonin transporters. To reduce the well-known dependence of the activity landscape on the structural representation, five selected 2D and 3D structure representations were used to characterize the SAR. Systematic analysis of the DAD and ...
57 citations
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TL;DR: A synthetic peptide combinatorial library was prepared, composed of 52,128,400 L-amino acid hexapeptides, which was used with an iterative selection process to determine peptides capable of inhibiting binding of DAGO to crude rat brain homogenates.
56 citations
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TL;DR: In vitro T cell responses of a group of malaria exposed and non‐exposed adult Caucasian donors to recombinant circumsporozoite proteins, to blood‐stage parasites, and to synthetic peptides copying the CS protein and defined blood-stage proteins are examined.
Abstract: A major goal of current candidate malaria vaccines is to stimulate the expansion of clones of malaria-specific lymphocytes. We have examined the in vitro T cell responses of a group of malaria exposed and non-exposed adult Caucasian donors to recombinant circumsporozoite (CS) proteins, one of which is undergoing clinical trials, to blood-stage parasites, and to synthetic peptides copying the CS protein and defined blood-stage proteins. In nearly all individuals tested, CD4 T cell proliferation or lymphokine production occurred in response to whole parasite or CS protein stimulation, and T cells from many individuals responded to synthetic peptides. T cell responses were major histocompatibility complex-restricted, and stimulation of T cells with malaria parasites or CS protein did not appear to expand a population of T cell receptor gamma/delta cells. Malaria-specific responses were independent of prior malaria exposure, and in some cases exceeded the magnitude of response to tetanus toxoid. Specific T cells are present in high frequency in the peripheral blood of many donors who have never been exposed to malaria. Although malaria-specific CD4 T cells play an important role in immunity, these data question whether vaccines need to stimulate such cells, and focus attention on other aspects of malaria immunity which may be more critical to a successful vaccine.
56 citations
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TL;DR: Docking studies of established DNMT1 inhibitors with the crystal structure gave rise to a structure-based pharmacophore model that suggests key interactions of the inhibitor with the catalytic binding site, and illustrates the synergy from integrating molecular modeling and experimental methods to further advance the discovery of novel candidates for epigenetic therapies.
Abstract: DNA methyltransferases (DNMTs) are promising epigenetic targets for the development of novel anticancer drugs and other diseases. Molecular modeling and experimental approaches are being used to identify and develop inhibitors of human DNMTs. Most of the computational efforts conducted so far with DNMT1 employ homology models of the enzyme. Recently, a crystallographic structure of the methyltransferase domain of human DNMT1 bound to unmethylated DNA was published. Following on our previous computational and experimental studies with DNMTs, we herein present molecular dynamics of the crystal structure of human DNMT1. Docking studies of established DNMT1 inhibitors with the crystal structure gave rise to a structure-based pharmacophore model that suggests key interactions of the inhibitors with the catalytic binding site. Results had a good agreement with the docking and pharmacophore models previously developed using a homology model of the catalytic domain of DNMT1. The docking protocol was able to distinguish active DNMT1 inhibitors from, for example, experimentally known inactive DNMT1 inhibitors. As part of our efforts to identify novel inhibitors of DNMT1, we conducted the experimental characterization of aurintricarboxylic acid (ATA) that in preliminary docking studies showed promising activity. ATA had a submicromolar inhibition (IC(50)=0.68 μM) against DNMT1. ATA was also evaluated for Dnmt3a inhibition showing an IC(50)=1.4 μM. This chapter illustrates the synergy from integrating molecular modeling and experimental methods to further advance the discovery of novel candidates for epigenetic therapies.
56 citations
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TL;DR: The results indicate that differences in performance among miRNA profiling platforms impact ability to detect biological differences among samples and thus their relative utility for research and clinical use.
56 citations
Authors
Showing all 2327 results
Name | H-index | Papers | Citations |
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Eric J. Topol | 193 | 1373 | 151025 |
John R. Yates | 177 | 1036 | 129029 |
George F. Koob | 171 | 935 | 112521 |
Ian A. Wilson | 158 | 971 | 98221 |
Peter G. Schultz | 156 | 893 | 89716 |
Gerald M. Edelman | 147 | 545 | 69091 |
Floyd E. Bloom | 139 | 616 | 72641 |
Stuart A. Lipton | 134 | 488 | 71297 |
Benjamin F. Cravatt | 131 | 666 | 61932 |
Chi-Huey Wong | 129 | 1220 | 66349 |
Klaus Ley | 129 | 495 | 57964 |
Nicholas J. Schork | 125 | 587 | 62131 |
Michael Andreeff | 117 | 959 | 54734 |
Susan L. McElroy | 117 | 570 | 44992 |
Peter E. Wright | 115 | 444 | 55388 |