Author

Aleksander Kuriata

University of Warsaw

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:experimental assay· 2 Research Focus:protein design· 2 Assay:protein structure· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Organism:human· 1

Frequent Co-Authors

Jordi PujolsiD· 3 shared Salvador VenturaiD· 3 shared Sebastian KmiecikiD· 3 shared Aleksandra Elzbieta Badaczewska-DawidiD· 2 shared Jaime SantosiD· 1 shared Javier García‐PardoiD· 1 shared Valentín IglesiasiD· 1 shared

Activity by Year

2022-2022 · peak 3/yr

Co-Author Collaboration Network

7 top collaborators · 17 mutual co-author links

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3 shared papersBioinformatics

Jordi PujolsORCID

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3 papers

Recent·Most cited

A3D Database: Structure-based Protein Aggregation Predictions for the Human Proteome

Aleksandra Elzbieta Badaczewska-Dawid, Javier García‐Pardo, Aleksander Kuriata, Jordi Pujols, Salvador Ventura, Sebastian Kmiecik

The paper presents a database of structure-based protein aggregation predictions for the human proteome using AlphaFold structures and the A3D tool.

Bioinformatics · Apr 19, 2022Peer-reviewedBioinformatics

A3D 2.0 update for the prediction and optimization of protein solubility

Jordi Pujols, Valentín Iglesias, Jaime Santos, Aleksander Kuriata, Sebastian Kmiecik, Salvador Ventura

This paper updates A3D to predict and optimize protein solubility using a computational pipeline and RESTful service for handling large protein collections.

Methods in molecular biology · Jan 1, 2022Peer-reviewedBioinformatics

Protocols for rational design of protein solubility and aggregation properties using Aggrescan3D standalone

Aleksander Kuriata, Aleksandra Elzbieta Badaczewska-Dawid, Jordi Pujols, Salvador Ventura, Sebastian Kmiecik

The paper introduces Aggrescan3D, a tool for designing protein variants with improved solubility and reduced aggregation using 3D structures, and demonstrates its application on therapeutic proteins.

Methods in molecular biology · Jan 1, 2022Peer-reviewedBioinformatics