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Updated: Mar 8, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis

An Integrated Approach for Microprotein Identification and Sequence Analysis

Published on: July 12, 2022

SmProt: a database of small proteins encoded by annotated coding and non-coding RNA loci.

Yajing Hao¹, Lili Zhang¹, Yiwei Niu¹

¹Key Laboratory of RNA Biology, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China.

Briefings in Bioinformatics

|February 1, 2017

Summary

The SmProt database systematically collects small proteins, offering valuable data for cell biology and human health research. This resource aids in identifying and understanding the functions of these crucial biomolecules.

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Area of Science:

Biochemistry
Bioinformatics
Genomics

Background:

Small proteins (<100 amino acids) play vital roles in cellular functions like development and DNA repair.
Existing databases lack systematic collection and comprehensive data on small proteins.
Identification of novel small proteins is crucial for advancing cell biology and human health.

Purpose of the Study:

To develop a dedicated, web-accessible database for documenting small proteins.
To provide a comprehensive resource for small protein identification and functional studies.
To address the deficiencies in current small protein databases.

Main Methods:

Developed the small proteins database (SmProt) with web accessibility.
Integrated computational and experimental identification of small proteins.
Incorporated data including sequence, location, function, and disease association.

Main Results:

SmProt release includes 255,010 small proteins from eight species across 291 cell lines/tissues.
The database offers diverse data types and multiple search functionalities.
Includes BLAST alignment services and a local UCSC Genome Browser.

Conclusions:

SmProt serves as a valuable, systematically curated resource for small proteins.
Facilitates research in cell biology and human health by providing comprehensive small protein data.
Enables high-confidence set definition and functional prediction for small proteins.