Search Results - "Jenkins, Jeremy L"
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Identifying compound efficacy targets in phenotypic drug discovery
Published in Drug discovery today (01-01-2016)“…•Compound target ID technologies have unique strengths that can be used strategically.•Target ID approaches are trending toward unbiased, genome-wide…”
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Large-scale prediction and testing of drug activity on side-effect targets
Published in Nature (London) (21-06-2012)“…Discovering the unintended ‘off-targets’ that predict adverse drug reactions is daunting by empirical methods alone. Drugs can act on several protein targets,…”
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Evidence-Based and Quantitative Prioritization of Tool Compounds in Phenotypic Drug Discovery
Published in Cell chemical biology (21-07-2016)“…The use of potent and selective chemical tools with well-defined targets can help elucidate biological processes driving phenotypes in phenotypic screens…”
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From in silico target prediction to multi-target drug design: Current databases, methods and applications
Published in Journal of proteomics (18-11-2011)“…Given the tremendous growth of bioactivity databases, the use of computational tools to predict protein targets of small molecules has been gaining importance…”
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Prediction of Biological Targets for Compounds Using Multiple-Category Bayesian Models Trained on Chemogenomics Databases
Published in Journal of chemical information and modeling (01-05-2006)“…Target identification is a critical step following the discovery of small molecules that elicit a biological phenotype. The present work seeks to provide an in…”
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Integrating high-content screening and ligand-target prediction to identify mechanism of action
Published in Nature chemical biology (01-01-2008)“…High-content screening is transforming drug discovery by enabling simultaneous measurement of multiple features of cellular phenotype that are relevant to…”
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Pocket Crafter: a 3D generative modeling based workflow for the rapid generation of hit molecules in drug discovery
Published in Journal of cheminformatics (21-03-2024)“…We present a user-friendly molecular generative pipeline called Pocket Crafter, specifically designed to facilitate hit finding activity in the drug discovery…”
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Size uniformity of animal cells is actively maintained by a p38 MAPK-dependent regulation of G1-length
Published in eLife (29-03-2018)“…Animal cells within a tissue typically display a striking regularity in their size. To date, the molecular mechanisms that control this uniformity are still…”
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Analysis of Pharmacology Data and the Prediction of Adverse Drug Reactions and Off-Target Effects from Chemical Structure
Published in ChemMedChem (11-06-2007)“…Preclinical Safety Pharmacology (PSP) attempts to anticipate adverse drug reactions (ADRs) during early phases of drug discovery by testing compounds in…”
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Ten simple rules to power drug discovery with data science
Published in PLoS computational biology (27-08-2020)“…The combination of data, computing power, and advanced analytics is positioning data science as a critical core discipline in pharmaceutical research,…”
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Data-Driven Derivation of an “Informer Compound Set” for Improved Selection of Active Compounds in High-Throughput Screening
Published in Journal of chemical information and modeling (26-09-2016)“…Despite the usefulness of high-throughput screening (HTS) in drug discovery, for some systems, low assay throughput or high screening cost can prohibit the…”
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Indolyl-Pyridinyl-Propenone-Induced Methuosis through the Inhibition of PIKFYVE
Published in ACS omega (30-06-2018)“…Methuosis is a form of nonapoptotic cell death characterized by the accumulation of macropinosome-derived vacuoles. Herein, we identify PIKFYVE, a class III…”
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Streamlining lead discovery by aligning in silico and high-throughput screening
Published in Current opinion in chemical biology (01-08-2006)“…Lead discovery in the pharmaceutical environment is largely an industrial-scale process in which it is typical to screen 1–5 million compounds in a matter of…”
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Using Information from Historical High-Throughput Screens to Predict Active Compounds
Published in Journal of chemical information and modeling (28-07-2014)“…Modern high-throughput screening (HTS) is a well-established approach for hit finding in drug discovery that is routinely employed in the pharmaceutical…”
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Structure of the DDB1–CRBN E3 ubiquitin ligase in complex with thalidomide
Published in Nature (London) (07-08-2014)“…In the 1950s, the drug thalidomide, administered as a sedative to pregnant women, led to the birth of thousands of children with multiple defects. Despite the…”
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A Small-Molecule Inhibitor of the Ribonucleolytic Activity of Human, Angiogenin That Possesses Antitumor Activity
Published in Proceedings of the National Academy of Sciences - PNAS (23-07-2002)“…The results of previous preclinical and clinical studies have identified angiogenin (ANG) as a potentially important target for anti-cancer therapy. Here we…”
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Virtual screening to enrich hit lists from high-throughput screening: A case study on small-molecule inhibitors of angiogenin
Published in Proteins, structure, function, and bioinformatics (01-01-2003)“…“Hit lists” generated by high‐throughput screening (HTS) typically contain a large percentage of false positives, making follow‐up assays necessary to…”
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Cell size homeostasis is maintained by CDK4-dependent activation of p38 MAPK
Published in Developmental cell (21-06-2021)“…While molecules that promote the growth of animal cells have been identified, it remains unclear how such signals are orchestrated to determine a…”
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Compound Activity Prediction with Dose-Dependent Transcriptomic Profiles and Deep Learning
Published in Journal of chemical information and modeling (08-04-2024)“…Predicting compound activity in assays is a long-standing challenge in drug discovery. Computational models based on compound-induced gene expression…”
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How Similar Are Similarity Searching Methods? A Principal Component Analysis of Molecular Descriptor Space
Published in Journal of Chemical Information and Modeling (01-01-2009)“…Different molecular descriptors capture different aspects of molecular structures, but this effect has not yet been quantified systematically on a large scale…”
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