Kallyope
Deciphering the gut-brain axis through AI-driven drug discovery for transformative therapeutics.

The foundational open-source library for biological computation and bioinformatics in Python.
Biopython remains the indispensable backbone of computational biology in 2026, serving as the primary bridge between raw biological data and high-performance AI/ML pipelines. As a distributed collaborative project, it provides a comprehensive suite of Python modules designed to handle the complexity of biological data formats including FASTA, GenBank, PDB, and more. Its architecture is built for interoperability, allowing seamless integration with the modern scientific Python stack (NumPy, SciPy, Pandas, and Matplotlib). In the 2026 landscape, Biopython has become a critical pre-processing layer for transformer-based protein language models (PLMs) and genomic LLMs, providing the necessary parsers and structural filters to clean datasets for training. It offers specialized sub-packages for sequence alignment, population genetics, phylogenetics, and structural bioinformatics. Its Bio.PDB module is a standard for researchers working on protein-ligand docking and molecular dynamics. Biopython is released under the Biopython License Agreement, making it freely available for both academic and commercial applications without the restrictive clauses of some GPL-based alternatives.
A uniform API for reading and writing over 20 different sequence file formats using a common SeqRecord object.
Deciphering the gut-brain axis through AI-driven drug discovery for transformative therapeutics.
Accelerating drug discovery through an end-to-end generative AI pipeline for target identification, molecular design, and clinical trial prediction.
The industry-standard interactive visualization tool for integrated exploration of large-scale genomic datasets.
Unlocking the causal biology of disease through Gemini Digital Twins.
Verified feedback from the global deployment network.
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Implements an SMCRA (Structure/Model/Chain/Residue/Atom) data model for hierarchical representation of 3D biological structures.
Programmatic access to the E-utilities API for querying and downloading data from PubMed, GenBank, and GEO.
Provides a consistent interface for handling multiple sequence alignments (MSAs) across formats like Clustal and PHYLIP.
Modules for calculating Codon Adaptation Index (CAI) and other bias metrics for synthetic gene design.
Supports Newick, NEXUS, and phyloXML formats with built-in visualization and tree manipulation logic.
Pythonic wrappers for command-line tools like BLAST, ClustalW, and EMBOSS.
Manually identifying features in large GenBank files is inefficient and error-prone.
Registry Updated:2/7/2026
Researchers need to measure distances between amino acid residues and specific ligands for drug discovery.
Estimating evolutionary time between species based on genetic divergence.