12 citations · 20 across the 4 of their papers we have counts for
4 papers
Adapting Segment Anything Model (SAM) through Prompt-based Learning for Enhanced Protein Identification in Cryo-EM Micrographs
Fei He, Zhiyuan Yang, Mingyue Gao +6
Cryo-electron microscopy (cryo-EM) remains pivotal in structural biology, yet the task of protein particle picking, integral for 3D protein structure construction, is laden with ma…
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…
DeepQA: Improving the estimation of single protein model quality with deep belief networks
Renzhi Cao, Debswapna Bhattacharya, Jie Hou +1
Protein quality assessment (QA) by ranking and selecting protein models has long been viewed as one of the major challenges for protein tertiary structure prediction. Especially, e…
Protein single-model quality assessment by feature-based probability density functions
Renzhi Cao, Jianlin Cheng
Protein quality assessment (QA) has played an important role in protein structure prediction. We developed a novel single-model quality assessment method - Qprob. Qprob calculates…