457 citations · 480 across the 7 of their papers we have counts for
5 papers · 1 filter
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…
SMISS: A protein function prediction server by integrating multiple sources
Renzhi Cao, Zhaolong Zhong, Jianlin Cheng
SMISS is a novel web server for protein function prediction. Three different predictors can be selected for different usage. It integrates different sources to improve the protein…
Evaluation of Protein Structural Models Using Random Forests
Renzhi Cao, Taeho Jo, Jianlin Cheng
Protein structure prediction has been a grand challenge problem in the structure biology over the last few decades. Protein quality assessment plays a very important role in protei…
An expanded evaluation of protein function prediction methods shows an improvement in accuracy
Yuxiang Jiang, Tal Ronnen Oron, Wyatt T Clark +144
Background: The increasing volume and variety of genotypic and phenotypic data is a major defining characteristic of modern biomedical sciences. At the same time, the limitations i…