# ProteoformDB: an integrative database for functional roles of proteoforms

## TL;DR

ProteoformDB is a new database that integrates functional annotations of proteoforms to help researchers study their roles in biology and disease.

## Contribution

ProteoformDB introduces an integrative platform with analytical tools for proteoform functional annotation and regulatory mechanisms.

## Key findings

- ProteoformDB includes transcript-level annotations for 214 animal and 28 plant species.
- The database supports analysis of functional differences through sequences, domains, and post-translational modifications.
- It provides tools for function prediction, differential analysis, and data download.

## Abstract

Proteoforms translated from alternatively spliced transcripts contribute to the functional repertoire of the cell by performing diverse biological functions, contributing to the functional diversity of genomics and proteomics. However, the lack of existing databases that integrate functional annotations of proteoforms, and analyse the drivers of their functional differences significantly hinders in-depth research into proteoform functions. We introduce ProteoformDB, a new web resource with integrated in-platform analytical capabilities, organizes transcript-level functional annotations of proteoforms across multiple species, and provides services for prediction of proteoform functions and analysis of functional regulatory mechanisms. ProteoformDB develops user-friendly interfaces for information search, visualization, function supplement, differential analysis, and data download services. Particularly, it enables users to investigate the impact of molecular events on the function of proteoforms at multiple levels, including sequences, domains, and post-translational modifications, among others, thereby uncovering the functional differences between protein variants. The current version includes processed data (154.83 GB) for 214 animal and 28 plant species, and will become a valuable and expandable proteoform functional resource for studying genome and transcriptome functions, disease mechanisms, and other related research.