Grigoryan, Gevorg

Illuminating protein space with a programmable generative model

Ingraham, J. B., Baranov, M., Costello, Z., Barber, K. W., Wang, W., Ismail, A., Frappier, V., Lord, D. M., Ng-Thow-Hing, C., Van Vlack, E. R., et al. (2023) · Nature

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 444

Illuminating protein space with a programmable generative model

Ingraham, J., Baranov, M., Costello, Z., Frappier, V., Ismail, A., Tie, S., Wang, W., Xue, V., Obermeyer, F., Beam, A., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory)

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 83

Tertiary alphabet for the observable protein structural universe

Mackenzie, C. O., Zhou, J., & Grigoryan, G. (2016) · Proceedings of the National Academy of Sciences

Protein Structure and DynamicsEnzyme Structure and Function

Cited by 72

Design and designability of protein-based assemblies

Zhang, J., Zheng, F., & Grigoryan, G. (2014) · Current Opinion in Structural Biology

Protein Structure and DynamicsSupramolecular Self-Assembly in Materials

Cited by 30

Neural Network-Derived Potts Models for Structure-Based Protein Design using Backbone Atomic Coordinates and Tertiary Motifs

Li, A. J., Lu, M., Desta, I., Sundar, V., Grigoryan, G., & Keating, A. E. (2022) · Protein Science

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 25

Computational Design and Experimental Characterization of Peptides Intended for pH-Dependent Membrane Insertion and Pore Formation

Zhang, Y., Bartz, R., Grigoryan, G., Bryant, M., Aaronson, J., Beck, S., Innocent, N., Klein, L., Procopio, W., Tucker, T., et al. (2015) · ACS Chemical Biology

RNA Interference and Gene DeliveryNanoparticle-Based Drug Delivery

Cited by 23