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Full Stack Web Developer - ProteinForge novel protein creation

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  • 8 people are interested

Synthetic Protein Creation PlatformMission: Accelerate scientific discovery and innovation in synthetic novel protein creation through a collaborative, AI-powered platform. Overview

  • Platform Name: ProteinForge
  • Tagline: "Crafting novel proteins, together."
  • Description: ProteinForge is a crowd-sourced platform that leverages large language models (LLMs) specifically designed for biology, such as ESM, AlphaFold, and Recursion, to facilitate scientific paper submissions and collaboration in synthetic novel protein creation.
Core Features

  1. Paper Submissions: Researchers can submit their papers on synthetic protein creation, which will be reviewed and edited by the community.
  2. Collaborative Environment: A discussion forum and real-time chat enable scientists to collaborate, share ideas, and receive feedback.
  3. AI-powered Tools:
    • ESM: Integrated into the platform to predict protein structure and function.
    • AlphaFold: Utilized to predict protein folding and stability.
    • Recursion: Implemented to generate novel protein sequences.
  4. Knowledge Graph: A graph database that stores and connects relevant information on proteins, including structures, functions, and literature.
  5. Reward System: Incentivizes contributors with reputation points, badges, and potential funding opportunities.
How it Works
  1. Registration: Researchers create an account and submit their papers.
  2. Peer Review: The community reviews and provides feedback on submissions.
  3. AI-powered Analysis: Integrated LLMs analyze and provide insights on protein structures, functions, and sequences.
  4. Collaboration: Researchers discuss and refine their work based on feedback and AI-driven insights.
  5. Publication: Reviewed and edited papers are published on the platform.
  1. Accelerate Discovery: Foster collaboration and innovation in synthetic protein creation.
  2. Improve Accuracy: Leverage AI-powered tools to enhance the accuracy of protein structure prediction, function prediction, and sequence generation.
  3. Build a Community: Create a platform where researchers can share knowledge, receive feedback, and learn from each other.
Technical Requirements
  1. Backend: Develop a robust backend using a framework like Node.js.
  2. Frontend: Design a user-friendly interface using HTML, CSS, and JavaScript.
  3. Database: Utilize a graph database like Neo4j to store and query protein-related data.
  4. AI Integration: Integrate ESM, AlphaFold, and Recursion APIs into the platform.
  5. Security: Ensure data privacy and security measures are in place.
Conclusion ProteinForge aims to revolutionize the field of synthetic novel protein creation by harnessing the power of collaboration, AI, and crowd-sourcing. By providing a platform for researchers to share knowledge, receive feedback, and leverage AI-powered tools, we can accelerate scientific discovery and innovation.

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