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Chemistry

D-Index
50
Citations
24385
World Ranking
14211
National Ranking
3669

Overview

Ray Luo is affiliated with the University of California, Irvine in the United States. Their research primarily falls within the field of Biochemistry, Genetics and Molecular Biology, with a strong focus on Molecular Biology. Their work also extends into related subfields such as Atomic and Molecular Physics, and Optics, Materials Chemistry, Atmospheric Science, and Computational Theory and Mathematics.

The scientist's research interests are reflected in their main topics of work, which include:

  • Protein Structure and Dynamics
  • Spectroscopy and Quantum Chemical Studies
  • Enzyme Structure and Function
  • Computational Drug Discovery Methods
  • DNA and Nucleic Acid Chemistry
  • Machine Learning in Materials Science
  • Microbial Metabolic Engineering and Bioproduction

Ray Luo's publication record shows recurring contributions to several reputable scientific journals. Their frequent publication venues include:

  • Journal of Chemical Theory and Computation
  • Biophysical Journal
  • Journal of Chemical Information and Modeling
  • SSRN Electronic Journal
  • Nature Communications

Their scientific output includes multiple research papers, some of the notable recent works being:

  • AmberTools, 2023, Journal of Chemical Information and Modeling
  • Recent Force Field Strategies for Intrinsically Disordered Proteins, 2021, Journal of Chemical Information and Modeling
  • Recent Developments in Free Energy Calculations for Drug Discovery, 2021, Frontiers in Molecular Biosciences
  • Role of artificial intelligence in revolutionizing drug discovery, 2024, Fundamental Research
  • Environment-Specific Force Field for Intrinsically Disordered and Ordered Proteins, 2020, Journal of Chemical Information and Modeling

Collaboration has been a significant aspect of their career. Ray Luo frequently co-authors with several researchers, including:

  • Yong Duan
  • Piotr Cieplak
  • Yongxian Wu
  • Shiji Zhao
  • Haixin Wei

Best Publications

  • The Amber biomolecular simulation programs

    David A. Case;Thomas E. Cheatham;Tom Darden;Holger Gohlke

  • A point-charge force field for molecular mechanics simulations of proteins based on condensed-phase quantum mechanical calculations.

    Yong Duan;Chun Wu;Shibasish Chowdhury;Mathew C. Lee

  • Recent Developments and Applications of the MMPBSA Method.

    Changhao Wang;D'Artagnan Greene;Li Xiao;Ruxi Qi

  • Accelerated Poisson-Boltzmann calculations for static and dynamic systems.

    Ray Luo;Laurent David;Michael K. Gilson

  • Implicit Nonpolar Solvent Models

    Chunhu Tan;Yu-Hong Tan;Ray Luo

  • New-Generation Amber United-Atom Force Field

    Lijiang Yang;Chun Hu Tan;Meng Juei Hsieh;Junmei Wang

  • Calculating protein-ligand binding affinities with MMPBSA: Method and error analysis.

    Changhao Wang;Peter H. Nguyen;Kevin Pham;Danielle Huynh

  • Virtual screening using molecular simulations

    Tianyi Yang;Johnny C. Wu;Chunli Yan;Yuanfeng Wang

  • How well does Poisson-Boltzmann implicit solvent agree with explicit solvent? A quantitative analysis.

    Chunhu Tan;Lijiang Yang;Ray Luo

  • A Poisson–Boltzmann dynamics method with nonperiodic boundary condition

    Qiang Lu;Ray Luo

  • The IDP-Specific Force Field ff14IDPSFF Improves the Conformer Sampling of Intrinsically Disordered Proteins.

    Dong Song;Ray Luo;Hai-Feng Chen

  • Development of Polarizable Models for Molecular Mechanical Calculations I: Parameterization of Atomic Polarizability

    Junmei Wang;Piotr Cieplak;Jie Li;Tingjun Hou

  • New Force Field on Modeling Intrinsically Disordered Proteins

    Wei Wang;Wei Ye;Cheng Jiang;Ray Luo

  • An analysis of the interactions between the Sem-5 SH3 domain and its ligands using molecular dynamics, free energy calculations, and sequence analysis.

    Wei Wang;Wendell A. Lim;Araz Jakalian;Jian Wang

  • Development of polarizable models for molecular mechanical calculations II: induced dipole models significantly improve accuracy of intermolecular interaction energies.

    Junmei Wang;Piotr Cieplak;Jie Li;Jun Wang

  • Binding Induced Folding in p53-MDM2 Complex

    Hai-Feng Chen;Ray Luo

  • Comparison of generalized born and poisson models: Energetics and dynamics of HIV protease

    Laurent David;Ray Luo;Michael K. Gilson

  • The physical basis of nucleic acid base stacking in water.

    Ray Luo;Hillary S.R. Gilson;Michael J. Potter;Michael K. Gilson

  • Recent Developments in Free Energy Calculations for Drug Discovery.

    Edward King;Erick Aitchison;Han Li;Ray Luo

  • Recent Force Field Strategies for Intrinsically Disordered Proteins.

    Junxi Mu;Hao Liu;Jian Zhang;Ray Luo

  • Assessment of Linear Finite-Difference Poisson-Boltzmann Solvers

    J. U N Wang;R. A Y Luo

  • Performance of Nonlinear Finite-Difference Poisson−Boltzmann Solvers

    Qin Cai;Meng-Juei Hsieh;Jun Wang;Ray Luo

Frequent Co-Authors

Junmei Wang
Junmei Wang University of Pittsburgh
Piotr Cieplak
Piotr Cieplak Discovery Institute
Michael K. Gilson
Michael K. Gilson University of California, San Diego
Hongkai Zhao
Hongkai Zhao Duke University
Pengyu Ren
Pengyu Ren The University of Texas at Austin
Peter A. Kollman
Peter A. Kollman University of California, San Francisco
David A. Case
David A. Case Rutgers, The State University of New Jersey
Holger Gohlke
Holger Gohlke Heinrich Heine University Düsseldorf
Kenneth M. Merz
Kenneth M. Merz Michigan State University
Thomas E. Cheatham
Thomas E. Cheatham University of Utah

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