| Macromolecular modeling and design in Rosetta: recent methods and frameworks JK Leman, BD Weitzner, SM Lewis, J Adolf-Bryfogle, N Alam, RF Alford, ... Nature methods 17 (7), 665-680, 2020 | 559 | 2020 |
| Harnessing protein folding neural networks for peptide–protein docking T Tsaban, JK Varga, O Avraham, Z Ben-Aharon, A Khramushin, ... Nature communications 13 (1), 176, 2022 | 172 | 2022 |
| Matching protein surface structural patches for high-resolution blind peptide docking A Khramushin, Z Ben-Aharon, T Tsaban, JK Varga, O Avraham, ... Proceedings of the National Academy of Sciences 119 (18), e2121153119, 2022 | 16* | 2022 |
| A unique PRDM13-associated variant in a Georgian Jewish family with probable North Carolina macular dystrophy and the possible contribution of a unique CFH variant P Namburi, S Khateb, S Meyer, T Bentovim, R Ratnapriya, A Khramushin, ... Molecular Vision 26, 299, 2020 | 14 | 2020 |
| Modeling beta‐sheet peptide‐protein interactions: Rosetta FlexPepDock in CAPRI rounds 38‐45 A Khramushin, O Marcu, N Alam, O Shimony, D Padhorny, E Brini, KA Dill, ... Proteins: Structure, Function, and Bioinformatics 88 (8), 1037-1049, 2020 | 11 | 2020 |
| Elucidation of Short linear motif based interactions and dynamics of the ezrin, radixin, moesin and merlin FERM domains M Ali, A Khramushin, V Yadav, O Schueler-Furman, Y Ivarsson Biochemistry 62 (11), 2023 | 8* | 2023 |
| Protocols for all-atom reconstruction and high-resolution refinement of protein–peptide complex structures AE Badaczewska-Dawid, A Khramushin, A Kolinski, O Schueler-Furman, ... Protein Structure Prediction, 273-287, 2020 | 7 | 2020 |
