PUMPFOLD
Intelligent Protein Exploration
PUMPFOLD
Adversarial Proposal Model • Develop adversarial models based on DS R1 to critically evaluate and refine research topics🛡️.
AIGC Science
About PUMPFOLD 
First self-hosted bioengineering AI-agent powered by
DeepSeek and AlphaFold
Bio Extension
With 20 years in IT development, I specialize in the intersection of medicine and technology,
founders to help them change bio-industries
I have been applying AI-driven methodologies to biological research, advancing personalized medicine and predictive analytics.
Also CNN, RNN, DQN, and NLP models, with a keen interest in large language models (LLM) and text-to-image generation.
Be with the future .
Cooper Fteveam
Talk is cheap , show me your CODE
Works
AIGC Driven
Biological Sciences
AIGC
It's Time To Let AIGC
Take Over
Biomedical Research
OUR WORKS
AlphaFold Base
Protein Research
protein
Insulin Research
PUMPFOLD leverages AI-driven models to explore insulin's molecular dynamics, receptor interactions, and potential therapeutic pathways. By analyzing insulin's 3D structure and protein interactions, it proposes innovative research topics, from optimizing insulin binding to designing novel analogs for improved diabetes treatment, accelerating advancements in biotechnology.
Vasopressin Research
PUMPFOLD utilizes AI to analyze vasopressin's 3D structure and receptor interactions, identifying novel research avenues. This approach aims to enhance our understanding of vasopressin's role in regulating blood pressure and its potential therapeutic applications.
Hemoglobin Research
PUMPFOLD employs AI to analyze hemoglobin's 3D structure and protein interactions, identifying innovative research avenues. This approach aims to enhance our understanding of hemoglobin's role in oxygen transport and its potential therapeutic applications.
Roadmap
KEEP
AIGC SCIENCE
AIGC
Basic Version
- - Target Protein Selection
- - Autonomous Data Collection
- - Multi-Dimensional Research Topic Generation
- - Preliminary Topic Generation
Local Computation Upgrade
- - Local DeepSeek Deployment
- - Information Pre-Extraction Module
- - Closed-Loop Experimental Design
Multi-Model Adversarial System
- - Adversarial Proposal Model
- - Interactive Model Collaboration
- - Performance Evaluation & Continuous Improvement
Our Provider
Top BIO
SCIENCE Platform
BIO-SCIENCE
We leverage data from platforms like AlphaFold, Nature, Cell, and Biological Reviews to enhance AIGC's autonomous course research capabilities.
AlphaFold, developed by Google DeepMind, predicts protein structures with remarkable accuracy, advancing structural biology.NATURE.COM
Nature and Cell are leading multidisciplinary scientific journals publishing significant research across various fields, including biology, chemistry, and physics.
Biological Reviews is an international journal focusing on comprehensive reviews in biology, providing in-depth academic analysis and discussion.
Integrating data from these authoritative sources enables AIGC to offer comprehensive and accurate support in autonomous course research.
