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D-Index & Metrics

Biology and Biochemistry

D-Index
78
Citations
29383
World Ranking
4465
National Ranking
2170

Overview

Jens Meiler is affiliated with Vanderbilt University in the United States. Their research spans multiple fields, primarily within Biochemistry, Genetics and Molecular Biology, and Medicine. The scientist's work is specifically focused on subfields such as Molecular Biology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, and Oncology.

The main research topics covered by Jens Meiler include:

  • Protein Structure and Dynamics
  • Receptor Mechanisms and Signaling
  • RNA and protein synthesis mechanisms
  • Monoclonal and Polyclonal Antibodies Research
  • Computational Drug Discovery Methods
  • Ion channel regulation and function
  • Machine Learning in Bioinformatics

Jens Meiler has co-authored extensively with several researchers, notably including:

  • Rocco Moretti
  • Georg Kuenze
  • Alican Gulsevin
  • Benjamin P. Brown
  • Clara T. Schoeder

The scientist's publications are frequently found in the following venues:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Biophysical Journal
  • PLoS Computational Biology
  • eLife
  • Structure

Recent papers by Jens Meiler demonstrate involvement in research touching molecular immunology, computational modeling, and protein structure prediction methods. These include:

  • Potently neutralizing and protective human antibodies against SARS-CoV-2, 2020, Nature
  • Macromolecular modeling and design in Rosetta: recent methods and frameworks, 2020, Nature Methods
  • Sampling alternative conformational states of transporters and receptors with AlphaFold2, 2022, eLife
  • Modeling conformational states of proteins with AlphaFold, 2023, Current Opinion in Structural Biology
  • Rosetta3: An Object-Oriented Software Suite for the Simulation and Design of Macromolecules, 2020, UNC Libraries

Best Publications

  • ROSETTA3: an object-oriented software suite for the simulation and design of macromolecules.

    Andrew Leaver-Fay;Michael Tyka;Steven M. Lewis;Oliver F. Lange

  • Computational Methods in Drug Discovery

    Gregory Sliwoski;Sandeepkumar Kothiwale;Jens Meiler;Edward W. Lowe

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

    Oliver F. Lange;Nils Alexander Lakomek;Christophe Farès;Gunnar F. Schröder

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

    Seth J. Zost;Pavlo Gilchuk;James Brett Case;Elad Binshtein

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

    Julia Koehler Leman;Brian D. Weitzner;Brian D. Weitzner;Steven M. Lewis;Steven M. Lewis;Jared Adolf-Bryfogle

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

    Sarel J. Fleishman;Andrew Leaver-Fay;Jacob E. Corn;Eva Maria Strauch

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

    Huixian Wu;Chong Wang;Karen J. Gregory;Karen J. Gregory;Gye Won Han

  • Rosettaligand : Protein-small molecule docking with full side-chain flexibility

    Jens Meiler;David Baker

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

    Kristian W. Kaufmann;Gordon H. Lemmon;Samuel L. DeLuca;Jonathan H. Sheehan

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

    Alexandre Zanghellini;Lin Jiang;Andrew M. Wollacott;Gong Cheng

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

    Elizabeth Durham;Brent Dorr;Nils Woetzel;René Staritzbichler

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

    Jens Meiler;Jeanine J. Prompers;Wolfgang Peti;Christian Griesinger

  • Community-wide assessment of GPCR structure modelling and ligand docking: GPCR Dock 2008

    Mayako Michino;Enrique Abola;Charles L. Brooks;J. Scott Dixon

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

    Jens Meiler;Michael Müller;Anita Zeidler;Felix Schmäschke

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

    P. Jeffrey Conn;Craig W. Lindsley;Jens Meiler;Colleen M. Niswender

  • Coupled prediction of protein secondary and tertiary structure

    Jens Meiler;David Baker

  • Rosetta Predictions in CASP5: Successes, Failures, and Prospects for Complete Automation

    Philip Bradley;Dylan Chivian;Jens Meiler;Kira M.S. Misura

  • Model-free analysis of protein backbone motion from residual dipolar couplings.

    Wolfgang Peti;Jens Meiler;Rafael Brüschweiler;Christian Griesinger

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

    Congbao Kang;Changlin Tian;Frank D. Sönnichsen;Jarrod A. Smith

  • PROSHIFT: protein chemical shift prediction using artificial neural networks

    Jens Meiler

Frequent Co-Authors

Charles R. Sanders
Charles R. Sanders Vanderbilt University
Annette G. Beck-Sickinger
Annette G. Beck-Sickinger Leipzig University
James E. Crowe
James E. Crowe Vanderbilt University Medical Center
Alfred L. George
Alfred L. George Northwestern University
David Baker
David Baker University of Washington
Christian Griesinger
Christian Griesinger Max Planck Society
Hassane S. Mchaourab
Hassane S. Mchaourab Vanderbilt University
Craig W. Lindsley
Craig W. Lindsley Vanderbilt University
P. Jeffrey Conn
P. Jeffrey Conn Vanderbilt University
Daniel Huster
Daniel Huster Leipzig University

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