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Jens Meiler

Researcher Next ID · RN-033011

Researcher · Biochemistry, Genetics and Molecular Biology

Leipzig University of Applied Sciences

Leipzig, Canada

Accepting doctoral researchersFunding unknown
Works count
836
Citation count
28,944
H-index
78
i10-index
334

Research interests

Biochemistry, Genetics and Molecular Biology
Computer Science
Medicine
Protein Structure and Dynamics
Receptor Mechanisms and Signaling
Computational Drug Discovery Methods
RNA and protein synthesis mechanisms
Monoclonal and Polyclonal Antibodies Research

Publications

  • Modeling conformational states of proteins with AlphaFold

    Current Opinion in Structural Biology · 2023 · 10.1016/j.sbi.2023.102645

  • Sampling alternative conformational states of transporters and receptors with AlphaFold2

    eLife · 2022 · 10.7554/elife.75751

  • Potently neutralizing and protective human antibodies against SARS-CoV-2

    Nature · 2020 · https://doi.org/10.1038/s41586-020-2548-6

  • Macromolecular modeling and design in Rosetta: recent methods and frameworks

    Nature Methods · 2020 · https://doi.org/10.1038/s41592-020-0848-2

  • Protocols for Molecular Modeling with Rosetta3 and RosettaScripts

    Biochemistry · 2016 · 10.1021/acs.biochem.6b00444

  • Outcome of the First wwPDB Hybrid/Integrative Methods Task Force Workshop

    Structure · 2015 · 10.1016/j.str.2015.05.013

  • Structure of a Class C GPCR Metabotropic Glutamate Receptor 1 Bound to an Allosteric Modulator

    Science · 2014 · 10.1126/science.1249489

  • Opportunities and challenges in the discovery of allosteric modulators of GPCRs for treating CNS disorders

    Nature Reviews Drug Discovery · 2014 · 10.1038/nrd4308

  • Computational Methods in Drug Discovery

    Pharmacological Reviews · 2013 · https://doi.org/10.1124/pr.112.007336

  • Small-molecule ligand docking into comparative models with Rosetta

    Nature Protocols · 2013 · 10.1038/nprot.2013.074

  • RosettaScripts: A Scripting Language Interface to the Rosetta Macromolecular Modeling Suite

    PLoS ONE · 2011 · 10.1371/journal.pone.0020161

  • Rosetta Ligand Docking with Flexible XML Protocols

    Methods in molecular biology · 2011 · 10.1007/978-1-61779-465-0_10

  • Practically Useful: What the R osetta Protein Modeling Suite Can Do for You

    Biochemistry · 2010 · 10.1021/bi902153g

  • Rosetta3

    Methods in enzymology on CD-ROM/Methods in enzymology · 2010 · https://doi.org/10.1016/b978-0-12-381270-4.00019-6

  • Solvent accessible surface area approximations for rapid and accurate protein structure prediction

    Journal of Molecular Modeling · 2009 · 10.1007/s00894-009-0454-9

  • Structure of KCNE1 and Implications for How It Modulates the KCNQ1 Potassium Channel

    Biochemistry · 2008 · 10.1021/bi800875q

  • Recognition Dynamics Up to Microseconds Revealed from an RDC-Derived Ubiquitin Ensemble in Solution

    Science · 2008 · https://doi.org/10.1126/science.1157092

  • ROSETTALIGAND: Protein–small molecule docking with full side‐chain flexibility

    Proteins Structure Function and Bioinformatics · 2006 · 10.1002/prot.21086

  • New algorithms and an in silico benchmark for computational enzyme design

    Protein Science · 2006 · 10.1110/ps.062353106

  • PROSHIFT: Protein chemical shift prediction using artificial neural networks

    Journal of Biomolecular NMR · 2003 · 10.1023/a:1023060720156

  • Rosetta predictions in CASP5: Successes, failures, and prospects for complete automation

    Proteins Structure Function and Bioinformatics · 2003 · 10.1002/prot.10552

  • Coupled prediction of protein secondary and tertiary structure

    Proceedings of the National Academy of Sciences · 2003 · 10.1073/pnas.1831973100

  • Model-Free Analysis of Protein Backbone Motion from Residual Dipolar Couplings

    Journal of the American Chemical Society · 2002 · 10.1021/ja011883c

  • Model-Free Approach to the Dynamic Interpretation of Residual Dipolar Couplings in Globular Proteins

    Journal of the American Chemical Society · 2001 · 10.1021/ja010002z

  • Generation and evaluation of dimension-reduced amino acid parameter representations by artificial neural networks

    Journal of Molecular Modeling · 2001 · 10.1007/s008940100038

Current projects

    No projects listed.