Sai Raghavendra Maddhuri Venkata Subramaniya

AttentiveDist: Protein Inter-Residue Distance Prediction Using Deep Learning with Attention on Quadruple Multiple Sequence Alignments

Genki Terashi, Daisuke Kihara, Charles Christoffer, 2020, bioRxiv.

Protein Secondary Structure Detection in Intermediate Resolution Cryo-EM Maps Using Deep Learning

Genki Terashi, Daisuke Kihara, Sai Raghavendra Maddhuri Venkata Subramaniya, 2019, Nature Methods.

Residue-wise local quality estimation for protein models from cryo-EM maps

Sai Raghavendra Maddhuri Venkata Subramaniya, D. Kihara, Genki Terashi, 2022, Nature Methods.

Enhancing cryo-EM maps with 3D deep generative networks for assisting protein structure modeling

Sai Raghavendra Maddhuri Venkata Subramaniya, D. Kihara, Genki Terashi, 2023, Bioinformatics.

Analyzing effect of quadruple multiple sequence alignments on deep learning based protein inter-residue distance prediction

Sai Raghavendra Maddhuri Venkata Subramaniya, Charles W Christoffer, D. Kihara, 2021, Scientific Reports.