| Progen: Language modeling for protein generation A Madani, B McCann, N Naik, NS Keskar, N Anand, RR Eguchi, ... arXiv preprint arXiv:2004.03497, 2020 | 269 | 2020 |
| Generative modeling for protein structures N Anand, P Huang Advances in neural information processing systems 31, 2018 | 204 | 2018 |
| Protein structure and sequence generation with equivariant denoising diffusion probabilistic models N Anand, T Achim arXiv preprint arXiv:2205.15019, 2022 | 188 | 2022 |
| Protein sequence design with a learned potential N Anand, R Eguchi, II Mathews, CP Perez, A Derry, RB Altman, PS Huang Nature communications 13 (1), 746, 2022 | 183 | 2022 |
| Fully differentiable full-atom protein backbone generation N Anand, R Eguchi, PS Huang | 65 | 2019 |
| Ig-vae: generative modeling of immunoglobulin proteins by direct 3d coordinate generation RR Eguchi, N Anand, CA Choe, PS Huang Biorxiv 2020, 8, 2020 | 54 | 2020 |
| Optical control of fast and processive engineered myosins in vitro and in living cells PV Ruijgrok, RP Ghosh, S Zemsky, M Nakamura, R Gong, L Ning, R Chen, ... Nature chemical biology 17 (5), 540-548, 2021 | 23 | 2021 |
| Fast Brain Volumetric Segmentation from T1 MRI Scans A Anand, N Anand Advances in Computer Vision: Proceedings of the 2019 Computer Vision …, 2020 | 4 | 2020 |
| Generative modeling for protein structures A Namrata, H Po-Ssu Advances in Neural Information Processing Systems, 7494-7505, 2018 | | 2018 |
