Bio Research Writer – Your AI Assistant for Scientific Writing
- Overview:
Bio Research Writer is an automated tool designed to assist researchers in writing key sections of their scientific papers, including Materials & Methods, Results, and Discussion. The tool simplifies the writing process by extracting relevant data from user inputs and generating structured content based on computational analysis. - How It Works: Researchers provide the necessary inputs, including:
Protein Accession Number for automatic retrieval of protein information.
Upload PDB Complex File (Protein-Ligand, Protein-Protein , Protein-DNA, or Protein-RNA) for structural analysis.
Binding Score, RMSD, and Binding Residues for interaction assessment.
Custom Notes for additional details researchers want to include.
Image Upload for screenshots or extracted structural data.
- The tool then processes this data to:
Analyze binding interactions and functional impact.
Identify affected domains and their biological roles.
Determine whether interactions cause inhibition or activation.
Generate structured text for each section of the research paper.
Provide statistical analysis of the binding interactions
- Features:
3D Protein Viewer: Allows researchers to visualize the structure, manipulate views, and capture images.
Auto-Fill Data: Retrieves relevant information from databases for accuracy and efficiency.
Customizable Sections: Users can edit generated content before finalizing their document.
- Who Can Use It? Bio Research Writer is designed for bioinformatics researchers, molecular biologists, and computational chemists looking to streamline the documentation of their research findings.
- Features of Bio Research Writer
- Binding Interaction Analysis:
Extracts binding residues from the uploaded PDB complex.
Determines the effect of binding on protein function, including inhibition, activation, or allosteric modulation
- Domain and Functional Impact Identification:
Detects interaction sites within functional domains.
Analyzes structural and functional consequences of ligand or protein binding.
- Docking Accuracy and Stability Assessment:
Evaluates binding reliability using affinity scores and RMSD values.
Compares docking results with experimental data when available.
- Automated Research Paper Generation:
Materials & Methods: Structures details of the experimental setup and computational techniques.
Results: Summarizes extracted binding data, including residues, energy scores, and RMSD values.
Discussion: Provides AI-assisted interpretation of how binding interactions influence protein function and biological activity.
- Statistical Analysis of Binding Interactions:
Performs validation of docking scores and RMSD values.
Generates scatter plots and comparative graphs for better visualization.
- Interactive 3D Visualization:
Displays the protein-ligand complex in a real-time 3D viewer.
Allows researchers to manipulate the structure and capture images from different angles and styles.
- Custom Researcher Input:
Provides an editable section for researchers to add notes and experimental observations.
- Advanced Features
- AI-Powered Literature Search:
Automatically suggests relevant research papers related to the studied protein.
- Automated Graphing and Visualization:
Generates heatmaps, box plots, and scatter plots to compare binding affinities.
- Comprehensive Report Export:
Supports exporting structured reports in Word, PDF, or LaTeX formats.
- AI-Powered Literature Search:
- Overview: