Zobrazeno 1 - 10
of 822
pro vyhledávání: '"Cheng, Jianlin"'
Autor:
Jamasb, Arian R., Morehead, Alex, Joshi, Chaitanya K., Zhang, Zuobai, Didi, Kieran, Mathis, Simon V., Harris, Charles, Tang, Jian, Cheng, Jianlin, Lio, Pietro, Blundell, Tom L.
We introduce ProteinWorkshop, a comprehensive benchmark suite for representation learning on protein structures with Geometric Graph Neural Networks. We consider large-scale pre-training and downstream tasks on both experimental and predicted structu
Externí odkaz:
http://arxiv.org/abs/2406.13864
The effects of ligand binding on protein structures and their in vivo functions carry numerous implications for modern biomedical research and biotechnology development efforts such as drug discovery. Although several deep learning (DL) methods and b
Externí odkaz:
http://arxiv.org/abs/2405.14108
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, natural language processing (NLP), and bioinformatics. Although ther
Externí odkaz:
http://arxiv.org/abs/2302.10907
Autor:
Morehead, Alex, Cheng, Jianlin
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 ranging from text-guided image generation to structure-guided protein desi
Externí odkaz:
http://arxiv.org/abs/2302.04313
Autor:
Morehead, Alex, Cheng, Jianlin
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 and computational biology have benefited significantly from such meth
Externí odkaz:
http://arxiv.org/abs/2211.02504
Publikováno v:
Current Opinion in Structural Biology Volume 79, April 2023, 102536
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 key challenge in cryo-EM data analysis is to automatically reconstruct a
Externí odkaz:
http://arxiv.org/abs/2209.08171
Most children infected with COVID-19 have no or mild symptoms and can recover automatically by themselves, but some pediatric COVID-19 patients need to be hospitalized or even to receive intensive medical care (e.g., invasive mechanical ventilation o
Externí odkaz:
http://arxiv.org/abs/2206.01696
Autor:
Soltanikazemi, Elham, Roy, Raj S., Quadir, Farhan, Giri, Nabin, Morehead, Alex, Cheng, Jianlin
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 developed to reconstruct protein quaternary structures using predicted i
Externí odkaz:
http://arxiv.org/abs/2205.13594
Proteins interact to form complexes to carry out essential biological functions. Computational methods have been developed to predict the structures of protein complexes. However, an important challenge in protein complex structure prediction is to e
Externí odkaz:
http://arxiv.org/abs/2205.10627
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 interaction between multiple protein subunits (i.e., chains), has a notable i
Externí odkaz:
http://arxiv.org/abs/2205.10390