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Nephilim

This project introduces an AI-native drug discovery workspace that connects traditional medicinal knowledge with modern computational biology.

Code Video Cerebral Valley

Core trick

Runs AutoDock Vina docking on plant ligands from a structured database and caches results per input combination.

Tags

healthscience

Description

This project introduces an AI-native drug discovery workspace that connects traditional medicinal knowledge with modern computational biology. Many medicinal plants documented in Ayurvedic and ethnobotanical traditions remain molecularly understudied, with fragmented data on their bioactive ligands and protein targets. Our platform integrates a structured database of plants, associated ligands, and curated traditional knowledge, forming a searchable foundation for hypothesis generation. On top of this, Through structured context engineering, the agent maintains coherent reasoning across extended sessions. The workspace is fully interactive and human-collaborative, featuring molecular visualization, literature integration, hypothesis sketching, code inspection, and file management within each session. Results are compute-cached per input combination to ensure scalability and reuse.
NephilimTech/Ayurlogics★ 72 forksTypeScriptMITCreated Feb 10, 2026 · last push Feb 16, 2026

README excerpt

# Ayurlogics Platform

A comprehensive bioinformatics platform for molecular docking analysis using AutoDock Vina with AI-powered analysis through Claude Code CLI.

## Overview

Ayurlogics provides researchers with a web-based interface to perform molecular docking simulations and leverage AI agents for automated analysis, code generation, and research assistance.

### Features

- **Molecular Docking:** Run AutoDock Vina simulations directly from the web interface
- **AI-Powered Analysis:** Leverage Claude Code CLI for intelligent result interpretation
- **Real-time Collaboration:** Built on Pocketbase for real-time data synchronization
- **Modern Stack:** React + TypeScript + Chakra UI frontend with FastAPI backend
- **Single-Port Access:** All services accessible through one port (8080) via nginx reverse proxy
- **Container-Based:** Complete platform runs with podman-compose

## Architecture

```
┌─────────────────────────────────────────────────┐
│                                                 │
│              http://localhost:8080              │
│                                                 │
└──────────────────┬──────────────────────────────┘
                   │
                   ▼
         ┌─────────────────┐
         │  Nginx Proxy    │
         │  (Port 8080)    │
         └────────┬────────┘
                  │
        ┌─────────┼─────────┐
        │         │         │
        ▼         ▼         ▼
   ┌────────┐ ┌────────┐ ┌──────────┐
   │Frontend│ │Backend

Team