Development of CHARMM36-compatible parameters for siroheme group and molecular dynamics simulations of dissimilatory sulfite reductase with GROMACS

Density functional theory (DFT) calculations were used to obtain parameters compatible with the CHARMM36 force field for the siroheme (SRM) group, an iron-containing porphyrin prosthetic cofactor (iron-tetrahydroporphyrin), present in the active site of the dissimilatory sulfite reductase enzyme (DSrAB). The DFT parameters were incorporated into the CHARMM36 force field and validated by 200 ns of classical atomistic molecular dynamics (MD) simulations with the GROMACS software. All parameters, including bond lengths, bond angles, proper and improper dihedral angles, remained stable throughout the entire simulation of three DSrAB systems (PDB codes: 3MM5, 3MM6, and 3MM8). The root mean square deviation (RMSD) profile and hydrogen bond (H-bond) pattern for both SRM groups in each DSrAB system showed that these groups remained stable in their binding sites. The measured distances of relevant interactions involving these groups were consistent with their persistence within their respective binding regions. The developed parameters reproduced the DSrAB enzyme behavior, therefore they can be used in works involving MD simulations of systems containing the siroheme groups.

Authors

Institutions

Publication Details

Journal
Journal of Biomolecular Structure and Dynamics
Published
2026-09-11
DOI
https://doi.org/10.1080/07391102.2026.2729819
Primary Topic
Metalloenzymes and iron-sulfur proteins
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Development of CHARMM36-compatible parameters for siroheme group and molecular dynamics simulations of dissimilatory sulfite reductase with GROMACS

Talis Uelisson da Silva, Marília Ladeira Alves e Costa, Sérgio de Paula Machado, Alexandre C. Bertoli et al.
Journal of Biomolecular Structure and Dynamics
Metalloenzymes and iron-sulfur proteins
article

Development of CHARMM36-compatible parameters for siroheme group and molecular dynamics simulations of dissimilatory sulfite reductase with GROMACS

Talis Uelisson da Silva, Marília Ladeira Alves e Costa, Sérgio de Paula Machado, Alexandre C. Bertoli, Magaly Girão Albuquerque, Camilo Henrique da Silva Lima, Tatiana Medeiros Boaventura
article en

Abstract

Density functional theory (DFT) calculations were used to obtain parameters compatible with the CHARMM36 force field for the siroheme (SRM) group, an iron-containing porphyrin prosthetic cofactor (iron-tetrahydroporphyrin), present in the active site of the dissimilatory sulfite reductase enzyme (DSrAB). The DFT parameters were incorporated into the CHARMM36 force field and validated by 200 ns of classical atomistic molecular dynamics (MD) simulations with the GROMACS software. All parameters, including bond lengths, bond angles, proper and improper dihedral angles, remained stable throughout the entire simulation of three DSrAB systems (PDB codes: 3MM5, 3MM6, and 3MM8). The root mean square deviation (RMSD) profile and hydrogen bond (H-bond) pattern for both SRM groups in each DSrAB system showed that these groups remained stable in their binding sites. The measured distances of relevant interactions involving these groups were consistent with their persistence within their respective binding regions. The developed parameters reproduced the DSrAB enzyme behavior, therefore they can be used in works involving MD simulations of systems containing the siroheme groups.

Journal of Biomolecular Structure and Dynamics
Universidade Federal do Rio de Janeiro (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
Openalex Percentile: Top 29%
Metalloenzymes and iron-sulfur proteins
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.