1. Abadi, M. , Agarwal, A. , Barham, P. , E., B., Chen, Z. , Citro, C. , Corrado, G.S. , Davis, A. , Dean, J. , Devin, M. , Ghemawat, S. , Goodfellow, I. , Harp, A. , Irving, G. , Isard, M. , Jozefowicz, R. , Jia, Y. , Kaiser, L. , Kudlur, M. , Levenberg, J. , Mané, D. , Schuster, M. , Monga, R. , Moore, S. , Murray, D. , Olah, C. , Shlens, J. , Steiner, B. , Sutskever, I. , Talwar, K. , Tucker, P. , Vanhoucke, V. , Vasudevan, V. , Viégas, F. , Vinyals, O. , Warden, P. , Wattenberg, M. , Wicke, M. , Yu, Y. , Zheng, X. : Tensorflow: Large-scale machine learning on heterogeneous systems (2015). Software available from:https://www.tensorflow.org/
2. Detection and sequence/structure mapping of biophysical constraints to protein variation in saturated mutational libraries and protein sequence alignments with a dedicated server;BMC Bioinf,2016
3. Controlling the false discovery rate: A practical and powerful approach to multiple testing;J R Stat Soc Series B Stat Methodol J R STAT SOC B,1995
4. Bisardi, M. , Rodriguez-Rivas, J. , Zamponi, F. , Weigt, M. : Modeling sequence-space exploration and emergence of epistatic signals in protein evolution (2021)
5. PDB2PQR: expanding and upgrading automated preparation of biomolecular structures for molecular simulations