P
Plaszyme

Dashboard

Project Management & Overview

0
Total Projects
TOTAL PROJECTS
0
Completed
COMPLETED
0
Processing
PROCESSING

My Projects

Project Name Submission Time Sequence Count Status Actions

Submit New Prediction

Model:
Plaszyme V1
Standard prediction model
Plaszyme X1
Advanced model with enhanced accuracy
Enter protein sequences in FASTA format (up to 20 sequences)
Please enter valid protein sequences
or
No file chosen
Supported formats: .fasta, .fa, .txt (Max: 10MB)
or
No file chosen
Supported formats: .pdb, .ent (Max: 50MB)
Please enter a project name
ℹ

Metagenome Analysis

Upload raw metagenomic data for comprehensive plastic degradation enzyme discovery. The system will automatically perform gene prediction, protein extraction, and batch analysis with optimized parameters.

No files chosen
Supported: FASTA, FASTQ, compressed files (.gz, .zip) | Max: 500MB per file
⏲
Processing Time: Metagenome analysis typically takes 30-120 minutes depending on data size. You'll receive an email notification when completed.

Historical Projects

Project Name Submission Time Sequence Count Status Actions
Marine Microbial Sample 2025-08-28 14:30 5 Complete
Soil Sample Test 2025-08-27 09:15 12 Complete

Marine Microbial Sample

Submission time: 2025-08-28 14:30 | 5 sequences | Confidence: High
⚛

3D Structure Viewer

Interactive protein structure will be displayed here

Input Sequence Information

Sequence ID Length Sequence Fragment

Prediction Results

Sequence ID Plastic Type Degradation Probability Confidence

About Plaszyme

Plaszyme is an online platform dedicated to predicting plastic-degrading enzymes. Through advanced algorithms and machine learning models, it analyzes protein sequences to predict their ability to degrade different types of plastics. This platform aims to provide convenient tools for biotechnology researchers, environmental scientists, and industry professionals to accelerate plastic degradation research and applications.

Our prediction model is trained on extensive experimentally validated plastic-degrading enzyme data, capable of accurately identifying sequence patterns related to plastic degradation in protein sequences and providing reliable prediction results.

Key Features:

  • Support for degradation prediction of multiple common plastic types (PET, PS, PP, PE, PLA, PCL, PHA, etc.)
  • Efficient batch processing capability, handling up to 20 sequences simultaneously
  • Intuitive result display and data export functions (CSV, PDF)
  • Browser-based local storage project management feature, no registration required
  • Detailed usage tutorials and technical support

Usage Tutorial

1

Prepare Protein Sequences

Prepare the protein sequences you want to analyze. Supports single sequence text input or batch sequences in FASTA format files (.fasta, .fa, .txt). Ensure sequences are properly formatted with unique identifiers for each sequence.

2

Submit Prediction Task

Click the "Predict" option in the navigation bar to enter the prediction page. Enter an optional project name, then paste your sequences in the text box or drag and drop FASTA files into the upload area. After completion, click the "Submit Prediction" button to start analysis.

3

Wait for Processing Completion

The system will start processing your sequences. Processing time depends on the number and length of sequences. After processing is complete, you will see a "View Report" button, click to view the results.

4

View and Export Results

On the report page, you can view prediction results for each sequence's degradation probability against different plastic types. Results are displayed in intuitive progress bars with confidence annotations. You can export results in CSV or PDF format for further analysis or reporting.