Quick Navigation
Topics
Spin Qubits Silicon Quantum Computing
Quantum Chemistry
Quantum‐Chemical Evaluation of the Interaction Between the <i>Mycobacterium tuberculosis</i> Dihydrofolate Reductase Enzyme With Classical and Potential Inhibitors
Crossref
Authors: José Xavier de Lima Neto, Umberto Laino Fulco, Valder Nogueira Freire
Year
2026
Paper ID
39180
Status
Peer-reviewed
Abstract Read
~2 min
Abstract Words
149
Citations
N/A
Abstract
ABSTRACT Tuberculosis (TB) remains a major global threat, demanding new therapeutic strategies. Dihydrofolate reductase (DHFR), essential for cell survival and a known drug target, has emerged as a promising enzyme for anti‐TB drug development. Using crystallographic structures of Mycobacterium tuberculosis DHFR (MtDHFR) complexed with classical and potential inhibitors, a quantum‐chemical analysis was performed through the molecular fractionation with conjugate caps (MFCC) scheme within the density functional theory (DFT) framework to quantify individual amino acid contributions to ligand‐protein interactions. Energetically significant interactions were observed within a 6.0 Å pocket, when convergence of the total interaction energy (TIE) was found. The key residues I5, W6, D19, I20, R23, D27, Q28, H30, F31, R32, L50, K53, L57, R60, I94, and E111 were identified, along with the energetically relevant regions of the ligands and the major secondary structures of the protein. These results may guide the design of new anti‐TB drugs.
Why This Paper Matters
- This paper contributes to the Quantum Chemistry research area in the Quantum Articles archive.
- It adds a 2026 reference point for readers tracking recent quantum research.
- ABSTRACT Tuberculosis (TB) remains a major global threat, demanding new therapeutic strategies.
Paper Tools
Become a member to use research tools
Sign in to open papers, visit source links, share, cite, compare, copy DOI links, request category corrections, and build your reading list.
Show Paper Publisher Share
Cite This Paper
Copy URL
Compare
Copy DOI Add to Reading List
Category Correction Request
Category Correction Request
Help us improve classification quality by proposing a better category. Every request is reviewed by an admin.
Sign in to submit a category correction request for this paper.
Log In to SubmitReferences & Citation Signals
Community Reactions
Quick sentiment from readers on this paper.
Score:
0
Likes: 0
Dislikes: 0
Sign in to react to this paper.
Discussion & Reviews (Moderated)
Average Rating: 0.0 / 5 (0 ratings)
No written reviews yet.