Projects on Purna AI: a cleaner way to organize research work
Projects now keep chats, files, jobs, and outputs organized in one workspace on Purna AI's Molecular Intelligence Platform.
This Week on Purna AI Molecular Intelligence Platform
New on MIP this week: publication-quality scientific figures on demand, and protein embeddings and mutation likelihoods with ESM-2 and AbLang-2.
De Novo Enzyme Design with Diffusion Models: A Practical Guide
How diffusion models like DISCO are changing de novo enzyme design, and how to move from a SMILES string to a testable candidate enzyme.
From Sequence to Structure to Function: How AI Connects the Dots in Biology
AI connects sequence analysis, structure prediction, and functional assessment into one continuous pipeline instead of fragmented tools.
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Projects on Purna AI: a cleaner way to organize research work
Projects now keep chats, files, jobs, and outputs organized in one workspace on Purna AI's Molecular Intelligence Platform.
This Week on Purna AI Molecular Intelligence Platform
New on MIP this week: publication-quality scientific figures on demand, and protein embeddings and mutation likelihoods with ESM-2 and AbLang-2.
De Novo Enzyme Design with Diffusion Models: A Practical Guide
How diffusion models like DISCO are changing de novo enzyme design, and how to move from a SMILES string to a testable candidate enzyme.
From Sequence to Structure to Function: How AI Connects the Dots in Biology
AI connects sequence analysis, structure prediction, and functional assessment into one continuous pipeline instead of fragmented tools.
Computational Drug Target Discovery: A Guide for Research Teams
How computational approaches identify and validate drug targets using multi-omics data, genetic evidence, structural druggability, and AI prioritization.
AI in Proteomics: From Mass Spectrometry to Protein Function Prediction
How AI is transforming proteomics workflows, from peptide identification and quantification to PTM prediction, function annotation, and multi-omics integration.
AI for Rare Disease Diagnosis: Current Progress and What Comes Next
AI rare disease diagnosis is advancing fast. We cover DeepRare, GeneDx, real accuracy numbers, and what still requires human expertise.
Open-Source vs Commercial Bioinformatics Platforms: Which Is Right for Your Lab?
Honest comparison of open-source and commercial bioinformatics platforms covering TCO, compliance, scalability, and a decision framework for lab leads.
How to Read a Genomic Report: A Guide for Clinicians
Learn how to read a genomic report step by step. Covers variant classifications, ACMG criteria, when to act, and common mistakes.
Protein-Ligand Docking in the Age of AI: Classical vs Deep Learning Approaches
Compare classical protein-ligand docking tools like AutoDock Vina with AI approaches like DiffDock. Practical guide for drug discovery teams.
Best Bioinformatics Platforms in 2026: Galaxy, Terra, and Cloud Alternatives Compared
Comprehensive comparison of the best bioinformatics platforms in 2026 covering Galaxy, Terra, DNAnexus, LatchBio, and AI-native alternatives.
How AI Is Compressing Drug Discovery Timelines
Where AI is actually saving time in drug discovery, from target identification to lead optimization, with real examples and honest limits.
PyMOL vs ChimeraX vs Molstar: Protein Visualization Tools Compared
Practical comparison of PyMOL, ChimeraX, and Molstar covering rendering, scripting, file formats, and when to use each protein visualization tool.
How to Query Biological Databases Using Natural Language
Learn how natural language biological database queries replace multi-tool workflows. Query ClinVar, gnomAD, UniProt, OMIM, PDB, and PharmGKB in seconds.
What Is a Variant of Uncertain Significance (VUS) and How Do You Resolve One?
A variant of uncertain significance (VUS) lacks enough evidence for classification. Learn what causes VUS, how reclassification works, and how to resolve them.
AlphaFold 3 vs Boltz-2 vs ESMFold: Protein Structure Prediction Tools Compared
Head-to-head comparison of AlphaFold 3, Boltz-2, and ESMFold covering accuracy, speed, licensing, and practical recommendations for each use case.
Bioinformatics Without Coding: How AI Is Making Computational Biology Accessible
How natural language interfaces and AI-powered platforms are making bioinformatics without coding a reality for wet lab scientists and non-programmers.
Genomics vs Proteomics vs Transcriptomics: What Researchers Need to Know
A clear comparison of genomics, proteomics, and transcriptomics: what each measures, when to use which, and how multi-omics integration changes research.
How to Predict the Impact of Protein Mutations on Structure and Function
A practical guide to predicting protein mutation effects using structure prediction, stability analysis, conservation scoring, and AI tools.
AI for Biology: What's Actually Working in 2026
A practical look at where AI is making real progress in biology, from genomic interpretation and protein design to drug discovery and rare disease diagnosis.
What Is Molecular Intelligence? The Definitive Guide
Molecular intelligence is domain-trained AI that reasons across biological data — genomics, proteomics, structure, and clinical databases — in one workspace.
$10,000 in Free Research Credits for the Molecular Intelligence Platform
Purna AI is offering up to $10,000 in free credits for researchers working on multi-omics datasets. Here's who qualifies and how to apply.
From Variant to Visit: How Genomics Actually Changes Management
Genomic testing changes care when it shifts us from treating the average to treating the individual — altering drugs, doses, and surveillance.
How Molecular Intelligence Is Reshaping Drug Discovery
An overview of how AI-powered molecular intelligence platforms are accelerating the drug discovery pipeline from target identification to lead optimization.
Protein Folding Meets Generative AI: What It Means for Therapeutics
Exploring the convergence of protein structure prediction and generative models, and how this impacts the design of next-generation therapeutics.
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