Calculation of interatomic interactions in molecular structures
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Updated
Sep 3, 2024 - Python
Calculation of interatomic interactions in molecular structures
A Nextflow pipeline for end-to-end long-read proteogenomics analysis
Systematic evaluation of hallucination risks in Large Language Models (GPT-4, Claude 3, Gemini Pro) for clinical proteomics and mass spectrometry interpretation. Production-ready detection framework with comprehensive benchmarks.
A Python package that aims to characterise the dynamics of local chemical environments from Molecular Dynamics trajectories of proteins and other biomolecules. Public mirror of https://gitlab.jsc.fz-juelich.de/slbio/speadi.
Topological data analytic approach for discovering biophysical signatures in protein dynamics
protclust is a Python library for protein sequence analysis that integrates MMseqs2 for fast clustering and provides tools for creating robust machine learning datasets. It offers cluster-aware data splitting to prevent sequence similarity bias in model evaluation, along with comprehensive protein embedding capabilities for feature generation.
Superposition-based Protein Embedded CA SC score
Stand Alone version of ConSurf with better amino acid analysis - (installation + database + usage + analysis) - Fork of leezx/ConSurf-StandAlone
Bioinformatics analysis of adenovirus E1A proteins using Python, Biopython, LocalCIDER and AIUPred.
🧬 AI-powered protein structure-function analysis tool with 8-state secondary structure prediction, functional region identification, and interactive visualization. Built for researchers, educators, and students to understand how protein structure drives biological function.
RATISS - Professional Medical Analysis & Validation Portfolio (p53 Protein)
Python tool for analyzing protein point mutations. Calculates changes in molecular weight, charge, and hydrophobicity. Classifies mutations by severity and generates visualizations and HTML reports.
Per-taxonomy BLASTP search tool for balanced sequence retrieval from NCBI
Python toolkit for advanced genomic analysis, motif discovery, and protein sequence exploration
🧬Protein Functions Prediction through Amino Acids Sequences🧬
A Bioinformatics Web Application for Protein Sequence Analysis built with Python, Biopython and Streamlit.
Research-oriented bioinformatics toolkit for protein sequence analysis using Python.
ParylationPredictor — predict PARylation sites and detect PAR-binding domains in proteins. Publication-quality 8-panel figures, Excel, HTML report, JSON/TSV exports.
Comparative analysis of p53 protein across species
A Python-based bioinformatics project that analyzes protein sequences using Biopython. The project performs FASTA parsing, protein property analysis, hydropathy profiling, motif detection, secondary structure estimation, protein classification, and graphical visualization using Matplotlib.
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