Repository files navigation
A comprehensive list of drug AI (AI-aided de novo drug discovery) papers and materials. Will be frequently updated.
Papers (Topic-wise, Reverse Chronological Order)
Virtual screening & Docking & Molecular interaction
Ganea, O. E., Huang, X., Bunne, C., Bian, Y., Barzilay, R., Jaakkola, T., & Krause, A. (2021).
Independent SE (3)-Equivariant Models for End-to-End Rigid Protein Docking. arXiv preprint arXiv:2111.07786.
Rong, Y., Bian, Y., Xu, T., Xie, W., Wei, Y., Huang, W., & Huang, J. (2020).
Self-supervised graph transformer on large-scale molecular data. NeurIPS 2020.
Protein property prediction
Protein structure prediction
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., ... & Hassabis, D. (2021).
Highly accurate protein structure prediction with AlphaFold. Nature, 1-11.
Baek, M., DiMaio, F., Anishchenko, I., Dauparas, J., Ovchinnikov, S., Lee, G. R., ... & Baker, D. (2021).
Accurate prediction of protein structures and interactions using a 3-track network. Science.
Shi, C., Luo, S., Xu, M., & Tang, J. (2021).
Learning gradient fields for molecular conformation generation. arXiv preprint arXiv:2105.03902.
Shi, C., Xu, M., Zhu, Z., Zhang, W., Zhang, M., & Tang, J. (2020).
Graphaf: a flow-based autoregressive model for molecular graph generation. arXiv preprint arXiv:2001.09382.
Pushpakom, S., Iorio, F., Eyers, P. A., Escott, K. J., Hopper, S., Wells, A., ... & Pirmohamed, M. (2019).
Drug repurposing: progress, challenges and recommendations. Nature reviews Drug discovery, 18(1), 41-58.
Stokes, J. M., Yang, K., Swanson, K., Jin, W., Cubillos-Ruiz, A., Donghia, N. M., ... & Collins, J. J. (2020).
A deep learning approach to antibiotic discovery. Cell, 180(4), 688-702.
Tutorials & Talks & Blogs
Open Source Libraries & Platforms
You can’t perform that action at this time.