Area of research
Molecular Biology · Materials Chemistry
Research interest
Research interests include Computational biology, Computer science, Protein structure prediction, Protein function prediction, Convolutional neural network, and Membrane protein.
Protein remote homology detection and structural alignment using deep learning
Sequence-structure-function relationships in the microbial protein universe
Structure-based protein function prediction using graph convolutional networks
Structure-based protein function prediction using graph convolutional networks.
2021cited by 77position: middle
Macromolecular modeling and design in Rosetta: recent methods and frameworks
Classification of the Molecular Defects Associated with Pathogenic Variants of the <i>SLC6A8</i> Creatine Transporter
Integrative Protein Modeling in RosettaNMR from Sparse Paramagnetic Restraints
Mapping genetic variations to three-dimensional protein structures to enhance variant interpretation: a proposed framework
Specificity and Speed: Tethered Photopharmacology
Computational Prediction of the Heterodimeric and Higher-Order Structure of gpE1/gpE2 Envelope Glycoproteins Encoded by Hepatitis C Virus
Computing structure-based lipid accessibility of membrane proteins with mp_lipid_acc in RosettaMP
An Integrated Framework Advancing Membrane Protein Modeling and Design