Peer-reviewedLicence not statedIn Silico Pharmacology
In silico methods of Molecular Docking, ADMET, DFT and MD simulations reveal the potential of cis-hydroxycinnamic acid derivatives as potent Acetylcholinesterase Inhibitors
- 1Department of Chemistry, Government College for Women, MA Road, Srinagar, J & K 190001 India
- 2Natural Products and Medicinal Chemistry Division, CSIR IIIM, Jammu, J & K 180001 India
- 3Department of Chemistry, Sri Pratap College, Srinagar, J & K 190001 India
Related
- Design, synthesis, and docking analysis of benzene sulfonamide-[1,4]benzoxazepine hybrids as acetylcholinesterase and butyrylcholinesterase inhibitors
- Isolation, in vitro acetylcholinesterase inhibitory activity, molecular docking, and in silico ADME analysis of compounds from Cadaba farinosa roots
- Real-world effectiveness of monoclonal antibody lecanemab versus acetylcholinesterase inhibitors in Alzheimer’s disease: a target trial emulation
- Design, synthesis, and biological evaluation of naphthalimide derivatives as dual monoamine oxidase-B and amyloid-β aggregation inhibitors for Alzheimer's disease.
- Synthesis and biological evaluation of pyridine-based derivatives as potential inhibitors of Leishmania major propagation.
BibTeX
@article{lone2026silico,
title = {{In silico methods of Molecular Docking, ADMET, DFT and MD simulations reveal the potential of cis-hydroxycinnamic acid derivatives as potent Acetylcholinesterase Inhibitors}},
author = {Shabir H. Lone and Basit Qayoom and Waheed Ahmad Khanday and Saleem Farooq and Parvaiz Ahmad Bhat and Majida Maqbool},
journal = {In Silico Pharmacology},
year = {2026},
month = nov,
doi = {10.1007/s40203-026-00769-3},
url = {https://doi.org/10.1007/s40203-026-00769-3},
}
RIS
TY - JOUR
TI - In silico methods of Molecular Docking, ADMET, DFT and MD simulations reveal the potential of cis-hydroxycinnamic acid derivatives as potent Acetylcholinesterase Inhibitors
AU - Shabir H. Lone
AU - Basit Qayoom
AU - Waheed Ahmad Khanday
AU - Saleem Farooq
AU - Parvaiz Ahmad Bhat
AU - Majida Maqbool
PY - 2026
DA - 2026/11/03
JO - In Silico Pharmacology
DO - 10.1007/s40203-026-00769-3
UR - https://doi.org/10.1007/s40203-026-00769-3
SN - 2193-9616
ER -