Evidence map›Paper›PMID 36378163›Full record

ArticleJournal of chemical theory and computation2023

PyMM: An Open-Source Python Program for QM/MM Simulations Based on the Perturbed Matrix Method.

Cheng Giuseppe Chen, Alessandro Nicola Nardi, Andrea Amadei, Marco D'Abramo

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Article in Journal of chemical theory and computation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Microscopic basis of reaction center modulation in PsbA variants of photosystem II.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Review
  4. Article
  5. Article
  6. Unveiling the Excited State Dynamics of Indole in Solution.Journal of chemical theory and computation · 2023
    Article
  7. Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Cheng Giuseppe ChenDepartment of Chemistry, Sapienza University of Rome, Rome00185, Italy.ORCID 0000-0003-3553-4718
Alessandro Nicola NardiDepartment of Chemistry, Sapienza University of Rome, Rome00185, Italy.
Andrea AmadeiDepartment of Technological and Chemical Sciences, University of Rome Tor Vergata, Rome00133, Italy.
Marco D'AbramoDepartment of Chemistry, Sapienza University of Rome, Rome00185, Italy.ORCID 0000-0001-6020-8581

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantum mechanical/molecular mechanics (QM/MM) methods are important tools in molecular modeling as they are able to couple an extended phase space sampling with an accurate description of the electronic properties of the system. Here, we describe a Python software package, called PyMM, which has been developed to apply a QM/MM approach, the perturbed matrix method, in a simple and efficient way. PyMM requires a classical atomic trajectory of the whole system and a set of unperturbed electronic properties of the ground and electronic excited states. The software output includes a set of the most common perturbed properties, such as the electronic excitation energies and the transitions dipole moments, as well as the eigenvectors describing the perturbed electronic states, which can be then used to estimate whatever electronic property. The software is composed of a simple and complete command-line interface, a set of internal input validation, and three main analyses focusing on (i) the perturbed eigenvector behavior, (ii) the calculation of the electronic absorption spectrum, and (iii) the estimation of the free energy differences along a reaction coordinate.

Indexed as

Molecular Dynamics SimulationSoftwareQuantum Theory

Identifiers

PMID36378163
PMCPMC9835827

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.