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Author Details

Renzhi Cao
Pacific Lutheran University
2013
32
19
PMIDPaper TitleJournal TitlePublished Year
36682003Fast and automated protein-DNA/RNA macromolecular complex modeling from cryo-EM maps.Brief Bioinform2023
34161210Recent Progress of Machine Learning in Gene Therapy.Curr Gene Ther2022
34553747ZoomQA: residue-level protein model accuracy estimation with machine learning on sequential and 3D structural features.Brief Bioinform2022
34636289The Development of Machine Learning Methods in Discriminating Secretory Proteins of Malaria Parasite.Curr Med Chem2022
34198389Computational identification of N4-methylcytosine sites in the mouse genome with machine-learning method.Math Biosci Eng2021
33542514Cryo-EM model validation recommendations based on outcomes of the 2019 EMDataResource challenge.Nat Methods2021
34410360Application of artificial intelligence and machine learning for COVID-19 drug discovery and vaccine design.Brief Bioinform2021
32152330Deep Learning to Predict Protein Backbone Structure from High-Resolution Cryo-EM Density Maps.Sci Rep2020
30124147Survey of Machine Learning Techniques in Drug Discovery.Curr Drug Metab2019
31744546The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens.Genome Biol2019
29967418An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP12.Sci Rep2018
28035027QAcon: single model quality assessment using protein structural and contact information with machine learning techniques.Bioinformatics2017
29039790ProLanGO: Protein Function Prediction Using Neural Machine Translation Based on a Recurrent Neural Network.Molecules2017
27787823Assessing Predicted Contacts for Building Protein Three-Dimensional Models.Methods Mol Biol2017
26868282GMOL: An Interactive Tool for 3D Genome Structure Visualization.Sci Rep2016
26370280Integrated protein function prediction by mining function associations, sequences, and protein-protein and gene-gene interaction networks.Methods2016
26369671Massive integration of diverse protein quality assessment methods to improve template based modeling in CASP11.Proteins2016
27604469An expanded evaluation of protein function prediction methods shows an improvement in accuracy.Genome Biol2016
27919220DeepQA: improving the estimation of single protein model quality with deep belief networks.BMC Bioinformatics2016
27259540UniCon3D: de novo protein structure prediction using united-residue conformational search via stepwise, probabilistic sampling.Bioinformatics2016
271313713Drefine: an interactive web server for efficient protein structure refinement.Nucleic Acids Res2016
27041353Protein single-model quality assessment by feature-based probability density functions.Sci Rep2016
25974172CONFOLD: Residue-residue contact-guided ab initio protein folding.Proteins2015
26511362Deciphering the association between gene function and spatial gene-gene interactions in 3D human genome conformation.BMC Genomics2015
26493701A large-scale conformation sampling and evaluation server for protein tertiary structure prediction and its assessment in CASP11.BMC Bioinformatics2015
26493399Iterative reconstruction of three-dimensional models of human chromosomes from chromosomal contact data.BMC Bioinformatics2015
26072473Large-scale model quality assessment for improving protein tertiary structure prediction.Bioinformatics2015
24731387Designing and evaluating the MULTICOM protein local and global model quality prediction methods in the CASP10 experiment.BMC Struct Biol2014
24776231SMOQ: a tool for predicting the absolute residue-specific quality of a single protein model with support vector machines.BMC Bioinformatics2014
24573472The MULTICOM protein tertiary structure prediction system.Methods Mol Biol2014
23536826The properties of genome conformation and spatial gene interaction and regulation networks of normal and malignant human cell types.PLoS One2013
23514381Three-level prediction of protein function by combining profile-sequence search, profile-profile search, and domain co-occurrence networks.BMC Bioinformatics2013
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Collaborators

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Saint Louis University
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University of Miami
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Branislava Gemovic
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Iowa State University
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Hacettepe University
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University College London
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Matteo Re
Universita degli Studi di Milano
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Burkhard Rost
Technical University of Munich (TUM)
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Alfredo Benso
Italy Consorzio Interuniversitario Nazionale per l'Informatica
Co-authored papers 2
Giuseppe Profiti
University of Bologna
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Kai Hakala
University of Turku
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Christophe Dessimoz
University of Lausanne
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Domenico Cozzetto
Imperial College London
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Maria J Martin
European Bioinformatics Institute (EMBL-EBI)
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Marco Mesiti
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