Computational and experimental insights into the spectroscopy, electronic states, and molecular docking of (2S)-2,6-diaminohexanoic acid [DAHA]

This paper presents a theoretical analysis of the L-Lysine molecule using the DFT (density functional theory) method with a 6-311+ + G(d,p) basis set, a quantum-mechanical atomistic simulation method. The research encompasses the analysis of optimized chemical structure, vibrations, FMO, ELF, NLO, RDG, etc., to study the molecule's intensive properties, stability, and other biological activities. IR and UV spectra were analysed for the spectrochemical study, and the VEDA program was used to determine the PED values. The chemical reactivity of the molecule was identified through analysis of the Frontier molecular orbitals, Fukui, and molecular electrostatic potential. The electron localization function and reduced density gradient were determined to understand bonding and electronic structure. The temperature dependence on the properties of the molecule was estimated. The optical properties of the molecule were discussed by analyzing the non-linear optical property. The feasibility of the molecule as a therapeutic drug was examined using the drug likeness concept. Molecular docking analysis was conducted to acquire the best ligand-receptor complex and to study the molecule's biological activity.

Authors

Institutions

Publication Details

Journal
BMC Chemistry
Published
2025-05-29
DOI
https://doi.org/10.1186/s13065-025-01511-4
Citations
1
Primary Topic
Free Radicals and Antioxidants
Type
article
Field-Weighted Citation Impact
0.94

Funders

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

Computational and experimental insights into the spectroscopy, electronic states, and molecular docking of (2S)-2,6-diaminohexanoic acid [DAHA]

Nazia Siddiqui, Saleem Javed, Sandhya Savita, Mudassar Shahid et al.
1 citations
BMC Chemistry
Free Radicals and Antioxidants
0.94
article

Computational and experimental insights into the spectroscopy, electronic states, and molecular docking of (2S)-2,6-diaminohexanoic acid [DAHA]

Nazia Siddiqui, Saleem Javed, Sandhya Savita, Mudassar Shahid, T Amna Sherin, P V Abdul Nazar
article en
1 citations

Abstract

This paper presents a theoretical analysis of the L-Lysine molecule using the DFT (density functional theory) method with a 6-311+ + G(d,p) basis set, a quantum-mechanical atomistic simulation method. The research encompasses the analysis of optimized chemical structure, vibrations, FMO, ELF, NLO, RDG, etc., to study the molecule's intensive properties, stability, and other biological activities. IR and UV spectra were analysed for the spectrochemical study, and the VEDA program was used to determine the PED values. The chemical reactivity of the molecule was identified through analysis of the Frontier molecular orbitals, Fukui, and molecular electrostatic potential. The electron localization function and reduced density gradient were determined to understand bonding and electronic structure. The temperature dependence on the properties of the molecule was estimated. The optical properties of the molecule were discussed by analyzing the non-linear optical property. The feasibility of the molecule as a therapeutic drug was examined using the drug likeness concept. Molecular docking analysis was conducted to acquire the best ligand-receptor complex and to study the molecule's biological activity.

BMC ChemistryVol. 19(1)
Guru Ghasidas Vishwavidyalaya (IN), King Saud University (SA), Jamia Millia Islamia (IN)
Jamia Millia Islamia, King Saud University
Openalex Percentile: Top 25%
Free Radicals and Antioxidants
0.94
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.