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Chemistry

D-Index
64
Citations
14058
World Ranking
8073
National Ranking
2337

Research.com Recognitions

  • 2013 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2008 - Fellow of American Physical Society (APS) Citation For contributions to computational chemical physics, through the development and application of algorithms and theories for the static and dynamic behavior of macromolecules, including methods for the simulation of long time events in complex systems

Overview

Ron Elber is affiliated with The University of Texas at Austin in the United States. Their research spans several areas within biochemistry, genetics, and molecular biology, with a strong focus on molecular biology and atomic and molecular physics.

The main subjects of their work include:

  • Protein Structure and Dynamics
  • Lipid Membrane Structure and Behavior
  • RNA and protein synthesis mechanisms
  • Spectroscopy and Quantum Chemical Studies
  • RNA Interference and Gene Delivery
  • Advanced biosensing and bioanalysis techniques
  • DNA and Nucleic Acid Chemistry

Elber has contributed extensively to the scientific literature, publishing predominantly in venues such as:

  • The Journal of Physical Chemistry B
  • Biophysical Journal
  • Journal of Chemical Theory and Computation
  • bioRxiv (Cold Spring Harbor Laboratory)
  • The Journal of Physical Chemistry Letters

Notable recent papers authored or co-authored by Ron Elber include:

  • Milestoning: An Efficient Approach for Atomically Detailed Simulations of Kinetics in Biophysics, 2020, Annual Review of Biophysics
  • Interfacial Dynamics in Lipid Membranes: The Effects of Headgroup Structures, 2021, The Journal of Physical Chemistry B
  • Computer Simulations of the Dissociation Mechanism of Gleevec from Abl Kinase with Milestoning, 2021, The Journal of Physical Chemistry B
  • Peptide Permeation across a Phosphocholine Membrane: An Atomically Detailed Mechanism Determined through Simulations and Supported by Experimentation, 2022, The Journal of Physical Chemistry B
  • A peptide-derived strategy for specifically targeting the mitochondria and ER of cancer cells: a new approach in fighting cancer, 2022, Chemical Science

Frequent collaborators in Elber's research include Alfredo E. Cárdenas, Arman Fathizadeh, Rachel Nechushtai, Lauren J. Webb, and Hao Wang. The researcher has a sustained collaborative record with these coauthors contributing significantly to their publication output.

Elber's work intersects with multiple subfields such as molecular biology, atomic and molecular physics, genetics, oncology, and statistical and nonlinear physics, demonstrating a multidisciplinary approach to scientific questions.

Recognition of Elber's contributions includes being named a Fellow of the American Association for the Advancement of Science (AAAS) in 2013. Earlier, in 2008, they were made a Fellow of the American Physical Society (APS) with a citation acknowledging contributions to computational chemical physics, specifically in development and application of algorithms and theories related to macromolecular behavior and simulation methods for complex systems with long-time events.

Best Publications

  • Multiple Conformational States of Proteins: A Molecular Dynamics Analysis of Myoglobin

    R Elber;M Karplus

  • Computing time scales from reaction coordinates by milestoning

    Anton K. Faradjian;Ron Elber

  • Enhanced sampling in molecular dynamics: use of the time-dependent Hartree approximation for a simulation of carbon monoxide diffusion through myoglobin

    Ron Elber;M. Karplus

  • A method for determining reaction paths in large molecules: application to myoglobin

    R. Elber;M. Karplus

  • A new technique to calculate steepest descent paths in flexible polyatomic systems

    Alexander Ulitsky;Ron Elber

  • Reaction path study of conformational transitions in flexible systems: Applications to peptides

    Ryszard Czerminski;Ryszard Czerminski;Ron Elber

  • Calculation of classical trajectories with a very large time step: Formalism and numerical examples

    Roberto Olender;Ron Elber

  • Modeling side chains in peptides and proteins: Application of the locally enhanced sampling and the simulated annealing methods to find minimum energy conformations

    Adrian Roitberg;Ron Elber

  • Extending molecular dynamics time scales with milestoning: Example of complex kinetics in a solvated peptide

    Anthony M. A. West;Ron Elber;David Shalloway

  • Long-timescale simulation methods

    Ron Elber

  • On the assumptions underlying milestoning.

    Eric Vanden-Eijnden;Maddalena Venturoli;Giovanni Ciccotti;Ron Elber

  • Structural and Functional Effects of Apolar Mutations of the Distal Valine in Myoglobin

    Michael L. Quillin;Tiansheng Li;John S. Olson;George N. Phillips

  • Distal pocket residues affect picosecond ligand recombination in myoglobin. An experimental and molecular dynamics study of position 29 mutants.

    Q.H. Gibson;R Regan;R Elber;J.S. Olson

  • MOIL: A program for simulations of macromolecules

    Ron Elber;Ron Elber;Adrian Roitberg;Adrian Roitberg;Carlos Simmerling;Carlos Simmerling;Robert Goldstein

  • Self‐avoiding walk between two fixed points as a tool to calculate reaction paths in large molecular systems

    Ryszard Czerminski;Ron Elber

  • A Stochastic Algorithm for the Isobaric-Isothermal Ensemble with Ewald Summations for All Long Range Forces.

    Michele Di Pierro;Ron Elber;Benedict Leimkuhler

  • Reaction path study of helix formation in tetrapeptides: Effect of side chains

    Chyung Choi;Ron Elber

  • Prediction of homoprotein and heteroprotein complexes by protein docking and template-based modeling: A CASP-CAPRI experiment.

    Marc F. Lensink;Sameer Velankar;Andriy Kryshtafovych;Shen You Huang

  • Anharmonic wave functions of proteins: Quantum self-consistent field calculations of BPTI

    Adrian Roitberg;R. Benny Gerber;R. Benny Gerber;Ron Elber;Ron Elber;Mark A. Ratner

  • An atomically detailed study of the folding pathways of protein A with the stochastic difference equation.

    Avijit Ghosh;Ron Elber;Harold A. Scheraga

  • SHAKE parallelization

    R. Elber;A. P. Ruymgaart;B. Hess

Frequent Co-Authors

Kenneth A. Johnson
Kenneth A. Johnson The University of Texas at Austin
Carlos Simmerling
Carlos Simmerling Stony Brook University
Adrian E. Roitberg
Adrian E. Roitberg University of Florida
Quentin H. Gibson
Quentin H. Gibson Rice University
D. Thirumalai
D. Thirumalai The University of Texas at Austin
Martin Karplus
Martin Karplus Harvard University
John S. Olson
John S. Olson Rice University
Jon Kleinberg
Jon Kleinberg Cornell University
Thorsten Joachims
Thorsten Joachims Cornell University
Aviv Amirav
Aviv Amirav Tel Aviv University

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