Novel and Latest Computational Routes in the Design and Development of Anticancer Drugs


Citar

Texto integral

Sobre autores

Mohammad Kamal

Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, Sichuan University

Email: info@benthamscience.net

Salman Akhtar

Department of Bioengineering, Faculty of Engineering & Information Technology,, Integral University,

Email: info@benthamscience.net

Bibliografia

  1. Talluri, S.; Kamal, M.A.; Malla, R.R. Novel computational methods for cancer drug design. Curr. Med. Chem., 2024, 31(5), 554-572.
  2. Ghosh, A.; Ghosh, D.; Mukerjee, N. et al. The efficient activity of glabridin and its derivatives against EGFR-mediated inhibition of breast cancer. Curr. Med. Chem., 2024, 31(5), 573-594.
  3. Shah, A.A.; Ahmad, S.; Yadav, M.K.; Raza, K.; Kamal, M.A.; Akhtar, S. Structure-based virtual screening, molecular docking, molecular dynamics simulation, and metabolic reactivity studies of quinazoline derivatives for their anti-EGFR activity against tumor angiogenesis. Curr. Med. Chem., 2024, 31(5), 595-619.
  4. Alam, S.; Verma, S.; Fatima, K.; Luqman, S.; Srivastava, S.K.; Khan, F. Pharmacophore & QSAR guided design, synthesis, pharmacokinetics, and in vitro evaluation of curcumin analogs for anticancer activity. Curr. Med. Chem., 2024, 31(5), 620-639.
  5. Ahmad, S. lshammari, Q.T.; Rafi, Z. et al. Generation of autoantibodies in metal-catalyzed oxidatively damaged DNA in various cancer subjects. Curr. Med. Chem., 2024, 31(5), 640-648.
  6. Mirza, Z. Integrated high-throughput transcriptomic data identifies survivin as a potential breast cancer therapeutic biomarker. Curr. Med. Chem., 2024, 31(5), 649-663.

Arquivos suplementares

Arquivos suplementares
Ação
1. JATS XML

Declaração de direitos autorais © Bentham Science Publishers, 2024