Search Results - "Dahlgren, Markus K"
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OPLS4: Improving Force Field Accuracy on Challenging Regimes of Chemical Space
Published in Journal of chemical theory and computation (13-07-2021)“…We report on the development and validation of the OPLS4 force field. OPLS4 builds upon our previous work with OPLS3e to improve model accuracy on challenging…”
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OPLS3e: Extending Force Field Coverage for Drug-Like Small Molecules
Published in Journal of chemical theory and computation (12-03-2019)“…Building upon the OPLS3 force field we report on an enhanced model, OPLS3e, that further extends its coverage of medicinally relevant chemical space by…”
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OPLS3: A Force Field Providing Broad Coverage of Drug-like Small Molecules and Proteins
Published in Journal of chemical theory and computation (12-01-2016)“…The parametrization and validation of the OPLS3 force field for small molecules and proteins are reported. Enhancements with respect to the previous version…”
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Accurate and Reliable Prediction of Relative Ligand Binding Potency in Prospective Drug Discovery by Way of a Modern Free-Energy Calculation Protocol and Force Field
Published in Journal of the American Chemical Society (25-02-2015)“…Designing tight-binding ligands is a primary objective of small-molecule drug discovery. Over the past few decades, free-energy calculations have benefited…”
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Statistical molecular design of a focused salicylidene acylhydrazide library and multivariate QSAR of inhibition of type III secretion in the Gram-negative bacterium Yersinia
Published in Bioorganic & medicinal chemistry (01-04-2010)“…A combined application of statistical molecular design (SMD), quantitative structure–activity relationship (QSAR) modeling and prediction of new active…”
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Pre-clinical pharmacokinetics and anti-chlamydial activity of salicylidene acylhydrazide inhibitors of bacterial type III secretion
Published in Journal of antibiotics (01-08-2012)“…Salicylidene acylhydrazides belong to a class of compounds shown to inhibit bacterial type III secretion (T3S) in pathogenic Gram-negative bacteria. This class…”
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Illuminating HIV gp120-Ligand Recognition through Computationally-Driven Optimization of Antibody-Recruiting Molecules
Published in Chemical science (Cambridge) (2014)“…Here we report on the structure-based optimization of antibody-recruiting molecules targeting HIV gp120 (ARM-H). These studies have leveraged a combination of…”
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Reaction-Based Enumeration, Active Learning, and Free Energy Calculations To Rapidly Explore Synthetically Tractable Chemical Space and Optimize Potency of Cyclin-Dependent Kinase 2 Inhibitors
Published in Journal of chemical information and modeling (23-09-2019)“…The hit-to-lead and lead optimization processes usually involve the design, synthesis, and profiling of thousands of analogs prior to clinical candidate…”
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Characterization of Biaryl Torsional Energetics and its Treatment in OPLS All-Atom Force Fields
Published in Journal of chemical information and modeling (24-05-2013)“…The frequency of biaryl substructures in a database of approved oral drugs has been analyzed. This led to designation of 20 prototypical biaryls plus 10…”
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Synthesis of [4-(2-hydroxyphenyl)thiazol-2-yl]methanones as potential bioisosteres of salicylidene acylhydrazides
Published in Molecules (Basel, Switzerland) (31-08-2010)“…A focused library of [4-(2-hydroxyphenyl)thiazol-2-yl]methanones was prepared in a four-step synthesis with the aim to obtain potent inhibitors of type III…”
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Synthesis of 2-(2-aminopyrimidine)-2,2-difluoroethanols as potential bioisosters of salicylidene acylhydrazides
Published in Molecules (Basel, Switzerland) (21-06-2010)“…Salicylidene acylhydrazides are inhibitors of type III secretion in several gram-negative pathogens. To further develop the salicylidene acylhydrazides,…”
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Discovery of a Novel Class of d-Amino Acid Oxidase Inhibitors Using the Schrödinger Computational Platform
Published in Journal of medicinal chemistry (12-05-2022)“…d-Serine is a coagonist of the -methyl d-aspartate (NMDA) receptor, a key excitatory neurotransmitter receptor. In the brain, d-serine is synthesized from its…”
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Virtual Screening and Optimization Yield Low-Nanomolar Inhibitors of the Tautomerase Activity of Plasmodium falciparum Macrophage Migration Inhibitory Factor
Published in Journal of medicinal chemistry (26-11-2012)“…The Plasmodium falciparum orthologue of the human cytokine, macrophage migratory inhibitory factor (PfMIF), is produced by the parasite during malaria…”
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Design, Synthesis, and Multivariate Quantitative Structure−Activity Relationship of SalicylanilidesPotent Inhibitors of Type III Secretion in Yersinia
Published in Journal of medicinal chemistry (29-11-2007)“…Analogues to the salicylanilide N-(4-Chlorophenyl)-2-acetoxy-3,5-diiodobenzamide, 1a, an inhibitor of type III secretion (T3S) in Yersinia, were selected,…”
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Virtual screening reveals allosteric inhibitors of the Toxoplasma gondii thymidylate synthase-dihydrofolate reductase
Published in Bioorganic & medicinal chemistry letters (15-02-2014)“…The parasite Toxoplasma gondii can lead to toxoplasmosis in those who are immunocompromised. To combat the infection, the enzyme responsible for nucleotide…”
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Discovery of a Novel Class of d‑Amino Acid Oxidase Inhibitors Using the Schrödinger Computational Platform
Published in Journal of medicinal chemistry (12-05-2022)“…d-Serine is a coagonist of the N-methyl d-aspartate (NMDA) receptor, a key excitatory neurotransmitter receptor. In the brain, d-serine is synthesized from its…”
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Illuminating HIV gp120-ligand recognition through computationally-driven optimization of antibody-recruiting moleculesElectronic supplementary information (ESI) available. See DOI: 10.1039/c4sc00484a
Published 07-05-2014“…Here we report on the structure-based optimization of antibody-recruiting molecules targeting HIV gp120 (ARM-H). These studies have leveraged a combination of…”
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Statistical molecular design of balanced compound libraries for QSAR modeling
Published in Current medicinal chemistry (2010)“…A fundamental step in preclinical drug development is the computation of quantitative structure-activity relationship (QSAR) models, i.e. models that link…”
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