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Updated: Jul 25, 2025
An Integrated Approach for Microprotein Identification and Sequence Analysis
Published on: July 12, 2022
LEGO-CSM: a tool for functional characterization of proteins
Thanh Binh Nguyen1,2,3, Alex G C de Sá1,2,3,4, Carlos H M Rodrigues1,2,3
1School of Chemistry and Molecular Biosciences, University of Queensland, Brisbane City, QLD 4072, Australia.
Motivation:
With the development of sequencing techniques, the discovery of new proteins significantly exceeds the human capacity and resources for experimentally characterizing protein functions. Localization, EC numbers, and GO terms with the structure-based Cutoff Scanning Matrix (LEGO-CSM) is a comprehensive web-based resource that fills this gap by leveraging the well-established and robust graph-based signatures to supervised learning models using both protein sequence and structure information to accurately model protein function in terms of Subcellular Localization, Enzyme Commission (EC) numbers, and Gene Ontology (GO) terms.
Results:
We show our models perform as well as or better than alternative approaches, achieving area under the receiver operating characteristic curve of up to 0.93 for subcellular localization, up to 0.93 for EC, and up to 0.81 for GO terms on independent blind tests.
Availability And Implementation:
LEGO-CSM's web server is freely available at https://biosig.lab.uq.edu.au/lego_csm. In addition, all datasets used to train and test LEGO-CSM's models can be downloaded at https://biosig.lab.uq.edu.au/lego_csm/data.
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