APA APA 7th

El-Sayed, P. A., & Silva-Vargas, D. M. (2026). Deep Learning-Guided Design of Allosteric Modulators for GPCRs: A Novel Computational Framework for Ligand Discovery in Neurodegenerative Diseases. SciMatic Journal of Molecular Bio-Innovations, 1(2), 81-87.

MLA MLA 9th

El-Sayed, Prof. Amina, and Dr. Mateo Silva-Vargas. "Deep Learning-Guided Design of Allosteric Modulators for GPCRs: A Novel Computational Framework for Ligand Discovery in Neurodegenerative Diseases." SciMatic Journal of Molecular Bio-Innovations, vol. 1, no. 2, 2026, pp. 81-87.

CHI Chicago

El-Sayed, Prof. Amina, and Dr. Mateo Silva-Vargas. "Deep Learning-Guided Design of Allosteric Modulators for GPCRs: A Novel Computational Framework for Ligand Discovery in Neurodegenerative Diseases." SciMatic Journal of Molecular Bio-Innovations 1, no. 2 (2026): 81-87.

HAR Harvard

El-Sayed, P. A. & Silva-Vargas, D. M. (2026) 'Deep Learning-Guided Design of Allosteric Modulators for GPCRs: A Novel Computational Framework for Ligand Discovery in Neurodegenerative Diseases', SciMatic Journal of Molecular Bio-Innovations, 1(2), pp. 81-87.

IEEE IEEE

P. A. El-Sayed, and D. M. Silva-Vargas, "Deep Learning-Guided Design of Allosteric Modulators for GPCRs: A Novel Computational Framework for Ligand Discovery in Neurodegenerative Diseases," SciMatic Journal of Molecular Bio-Innovations, vol. 1, no. 2, pp. 81-87, 2026.

VAN Vancouver

El-Sayed PA, Silva-Vargas DM. Deep Learning-Guided Design of Allosteric Modulators for GPCRs: A Novel Computational Framework for Ligand Discovery in Neurodegenerative Diseases. SciMatic Journal of Molecular Bio-Innovations. 2026;1(2):81-87.

BIB BibTeX

@article{prof2026,
  title     = {Deep Learning-Guided Design of Allosteric Modulators for GPCRs: A Novel Computational Framework for Ligand Discovery in Neurodegenerative Diseases},
  author    = {Prof. Amina El-Sayed and Dr. Mateo Silva-Vargas},
  journal   = {SciMatic Journal of Molecular Bio-Innovations},
  volume    = {1},
  number    = {2},
  pages     = {81-87},
  year      = {2026},
}

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