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02/08/2023
Geometry-Complete Diffusion for 3D Molecule Generation
Denoising diffusion probabilistic models (DDPMs) have recently taken the...
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11/04/2022
Geometry-Complete Perceptron Networks for 3D Molecular Graphs
The field of geometric deep learning has had a profound impact on the de...
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09/16/2022
Deep learning for reconstructing protein structures from cryo-EM density maps: recent advances and future directions
Cryo-Electron Microscopy (cryo-EM) has emerged as a key technology to de...
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06/03/2022
Deep Learning Prediction of Severe Health Risks for Pediatric COVID-19 Patients with a Large Feature Set in 2021 BARDA Data Challenge
Most children infected with COVID-19 have no or mild symptoms and can re...
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05/26/2022
DRLComplex: Reconstruction of protein quaternary structures using deep reinforcement learning
Predicted inter-chain residue-residue contacts can be used to build the ...
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05/21/2022
DProQ: A Gated-Graph Transformer for Protein Complex Structure Assessment
Proteins interact to form complexes to carry out essential biological fu...
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05/20/2022
EGR: Equivariant Graph Refinement and Assessment of 3D Protein Complex Structures
Protein complexes are macromolecules essential to the functioning and we...
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03/23/2022
Semi-Supervised Graph Learning Meets Dimensionality Reduction
Semi-supervised learning (SSL) has recently received increased attention...
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02/27/2020
CATA++: A Collaborative Dual Attentive Autoencoder Method for Recommending Scientific Articles
Recommender systems today have become an essential component of any comm...
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07/15/2016
DeepQA: Improving the estimation of single protein model quality with deep belief networks
Protein quality assessment (QA) by ranking and selecting protein models ...
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02/13/2016