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Related Experiment Video

Updated: Aug 25, 2025

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
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Sella, an Open-Source Automation-Friendly Molecular Saddle Point Optimizer.

Eric D Hermes1, Khachik Sargsyan1, Habib N Najm1

  • 1Combustion Research Facility, Sandia National Laboratories, Livermore, California94551-0969, United States.

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PubMed
Summary

We developed a new algorithm to find molecular saddle points, improving computational chemistry efficiency. This method automates coordinate system setup and outperforms existing software for saddle point optimization.

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Area of Science:

  • Computational Chemistry
  • Theoretical Chemistry
  • Chemical Physics

Background:

  • Locating saddle points on potential energy surfaces is crucial for understanding chemical reaction mechanisms.
  • Existing methods often require manual setup of internal coordinates and can be computationally expensive.
  • Automated and efficient saddle point searches are needed for modern computational chemistry workflows.

Purpose of the Study:

  • To present a novel, automated algorithm for optimizing molecular structures to saddle points.
  • To enhance the efficiency and robustness of saddle point searches in computational chemistry.
  • To provide an open-source software implementation for saddle point optimization.

Main Methods:

  • Utilizes a redundant internal coordinate system with automated setup, including handling of linear bending angles via dummy atoms.
  • Employs null-space sequential quadratic programming for constrained optimizations.
  • Determines reaction coordinates via iterative Hessian diagonalization, avoiding full Hessian evaluation.
  • Incorporates restricted step partitioned rational function optimization and geodesic stepping for geometry updates.

Main Results:

  • The algorithm successfully automates internal coordinate system definition and handles complex cases like linear angles.
  • Demonstrates robust and efficient optimization to saddle points, suitable for automated frameworks.
  • The open-source software package Sella implements the new algorithm.
  • A new benchmark set of 500 molecular structures was created to test saddle point algorithms.

Conclusions:

  • The developed saddle point optimization algorithm is robust, efficient, and automatable.
  • Sella provides a valuable open-source tool for locating transition states and other saddle points.
  • The new algorithm and benchmark demonstrate superior performance compared to existing methods in leading electronic structure packages.