| Generative adversarial learning of protein tertiary structures T Rahman, Y Du, L Zhao, A Shehu Molecules 26 (5), 1209, 2021 | 30 | 2021 |
| Learning reduced latent representations of protein structure data FF Alam, T Rahman, A Shehu Proceedings of the 10th ACM International Conference on Bioinformatics …, 2019 | 15 | 2019 |
| Evaluating autoencoder-based featurization and supervised learning for protein decoy selection FF Alam, T Rahman, A Shehu Molecules 25 (5), 1146, 2020 | 10 | 2020 |
| Equivariant encoding based gvae (eqen-gvae) for protein tertiary structure generation T Rahman, FF Alam, A Shehu 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 4 | 2022 |
| Graph representation learning for protein conformation sampling T Rahman, Y Du, A Shehu International Conference on Computational Advances in Bio and Medical …, 2021 | 4 | 2021 |
| Application of Game Theory for Big Data Analytics MM Muhaisin, T Rahman Data Analytics, 199-210, 2018 | 1 | 2018 |
| Generative AI for Protein Modeling: Sampling Protein Conformation Space T Rahman George Mason University, 2023 | | 2023 |
| Supplementary Material Generative Adversarial Learning of Protein Tertiary Structures T Rahman, Y Du, L Zhao, A Shehu | | |
| Relationship of MSE to dimensionality FF Alam, T Rahman, A Shehu | | |
Amarda ShehuProfessor of Computer Science, George Mason UniversityVerified email at gmu.edu