Xu, Jinbo

Opportunities and obstacles for deep learning in biology and medicine

Ching, T., Himmelstein, D. S., Beaulieu-Jones, B. K., Kalinin, A. A., Do, B. T., Way, G. P., Ferrero, E., Agapow, P.-M., Zietz, M., Hoffman, M. M., et al. (2018) · Journal of The Royal Society Interface

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 2,310

Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model

Wang, S., Sun, S., Li, Z., Zhang, R., & Xu, J. (2017) · PLOS Computational Biology

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 931

Distance-based protein folding powered by deep learning

Xu, J. (2019) · Proceedings of the National Academy of Sciences

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 401

Critical assessment of protein intrinsic disorder prediction

Necci, M., Piovesan, D., Predictors, C., Hoque, M. T., Walsh, I., Iqbal, S., Vendruscolo, M., Sormanni, P., Wang, C., Raimondi, D., et al. (2021) · Nature Methods

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 343

The landscape of tolerated genetic variation in humans and primates

Gao, H., Hamp, T., Ede, J., Schraiber, J. G., McRae, J., Singer-Berk, M., Yang, Y., Dietrich, A., Fiziev, P., Kuderna, L., et al. (2023) · Science

Genomics and Rare DiseasesGenetic Associations and Epidemiology

Cited by 183

Deep graph learning of inter-protein contacts

Xie, Z., & Xu, J. (2022) · Bioinformatics

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 67

Deep graph learning of inter-protein contacts

Xie, Z., & Xu, J. (2021) · Bioinformatics

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 67

Deep learning reveals many more inter-protein residue-residue contacts than direct coupling analysis

Zhou, T.-M., Wang, S., & Xu, J. (2017) · bioRxiv (Cold Spring Harbor Laboratory)

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 25