Author

Mehari B. Zerihun

Karlsruhe Institute of Technology

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Assay:GWAS summary statistics· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Alexander H. SchugiD· 3 shared Fabrizio PucciiD· 3 shared Emanuel K. PeteriD· 2 shared

Activity by Year

2019-2021 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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3 shared papersBioinformatics

Alexander H. SchugORCID

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3 papers

Recent·Most cited

CoCoNet: Boosting RNA contact prediction by convolutional neural networks

Mehari B. Zerihun, Fabrizio Pucci, Alexander H. Schug

CoCoNet improves RNA contact map prediction using a coevolutionary model and convolutional neural network, achieving 70% higher accuracy than DCA on 60 RNA structures.

Nucleic Acids Research · Nov 5, 2021Peer-reviewedBioinformatics

Evaluating DCA-based method performances for RNA contact prediction by a well-curated dataset

Fabrizio Pucci, Mehari B. Zerihun, Emanuel K. Peter, Alexander H. Schug

The paper evaluates DCA-based methods for RNA contact prediction using a curated dataset of RNA structures and finds minor performance differences between methods.

RNA · Apr 10, 2020Peer-reviewedBioinformatics

pydca v1.0: a comprehensive software for Direct Coupling Analysis of RNA and Protein Sequences

Mehari B. Zerihun, Fabrizio Pucci, Emanuel K. Peter, Alexander H. Schug

pydca is a Python software for Direct Coupling Analysis of RNA and protein sequences, offering tools for sequence alignment, contact map visualization, and coevolutionary coupling inference.

Bioinformatics · Nov 26, 2019Peer-reviewedBioinformatics