Find Studio

Proteins are vital parts of living organisms, as they are the main components of the physiological metabolic pathways of cells. While proteomics generally refers to the large-scale experimental analysis of proteins, it is often specifically used for protein purification and mass spectrometry which is an analytical technique that measures the mass-to-charge ratio of charged particles.

pFind Studio is a computational solution for such mass spectrometry-based proteomics. It germinated in 2002 in Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China. We call ourselves "pFinders". Our goal is to study bioinformatics algorithms and to develop easy-to-use software tools to help answer biological questions.

What's New

June 3, 2023 -The pFind team went hiking in Jinhai Lake(金海湖)with their partners from Yang Jing's (杨靖) Lab of BPRC.

May 26, 2023 - Wu Yu-zhuo attended the ZCG Forum held in 2023, which is aimed at promoting technological innovation and development, as well as open cooperation for creating a shared future.

May 10, 2023 - Prof. Liu Chao's group published an article entitled "Comprehensive Evaluation and Optimization of the Data-Dependent LC–MS/MS Workflow for Deep Proteome Profiling" on Analytical Chemistry.


pFind is a search engine for peptide and protein identification via tandem mass spectrometry. [download...]

pLink is a tool dedicated for the analysis of chemically cross-linked proteins or protein complexes using mass spectrometry.

pNovo+ is a de novo peptide sequencing algorithm using complementary HCD and ETD tandem mass spectra. [download...]


We participated in the ABRF iPRG study with pFind developed by our group in the past few years.

"The mission of the ABRF iPRG (formerly the Bioinformatics Committee) is to educate ABRF members and the scientific community on best application and practice of bioinformatics toward accurate and comprehensive analysis of proteomics data."

We believe it is advantageous to improve our algorithms, software tools and strategies for proteome informatics.