457 citations · 619 across the 21 of their papers we have counts for
21 papers
Diffusion Models in Bioinformatics: A New Wave of Deep Learning Revolution in Action
Zhiye Guo, Jian Liu, Yanli Wang +4
Denoising diffusion models have emerged as one of the most powerful generative models in recent years. They have achieved remarkable success in many fields, such as computer vision…
Geometry-Complete Diffusion for 3D Molecule Generation and Optimization
Alex Morehead, Jianlin Cheng
Denoising diffusion probabilistic models (DDPMs) have pioneered new state-of-the-art results in disciplines such as computer vision and computational biology for diverse tasks rang…
Geometry-Complete Perceptron Networks for 3D Molecular Graphs
Alex Morehead, Jianlin Cheng
The field of geometric deep learning has had a profound impact on the development of innovative and powerful graph neural network architectures. Disciplines such as computer vision…
Deep learning for reconstructing protein structures from cryo-EM density maps: recent advances and future directions
Nabin Giri, Raj S. Roy, Jianlin Cheng
Cryo-Electron Microscopy (cryo-EM) has emerged as a key technology to determine the structure of proteins, particularly large protein complexes and assemblies in recent years. A ke…
DRLComplex: Reconstruction of protein quaternary structures using deep reinforcement learning
Elham Soltanikazemi, Raj S. Roy, Farhan Quadir +3
Predicted inter-chain residue-residue contacts can be used to build the quaternary structure of protein complexes from scratch. However, only a small number of methods have been de…
EGR: Equivariant Graph Refinement and Assessment of 3D Protein Complex Structures
Alex Morehead, Xiao Chen, Tianqi Wu +2
Protein complexes are macromolecules essential to the functioning and well-being of all living organisms. As the structure of a protein complex, in particular its region of interac…