Learn protein folding, molecular docking, drug discovery, and genomics with hands-on tutorials and working code examples.
Learn how ESMFold uses protein language models to predict 3D structure from sequence in seconds. Compare to AlphaFold, understand pLDDT scores, and try it via API.
Step-by-step tutorial to predict protein structure from amino acid sequence using ESMFold via SciRouter's API. Includes working Python code.
Compare ESMFold, AlphaFold2, and Boltz-2 across speed, accuracy, cost, and use cases. Practical guidance for choosing the right protein structure prediction tool.
DiffDock uses diffusion models for molecular docking without predefined search boxes. Learn how it works, when to use it, and how to access it via API.
Compare DiffDock (AI diffusion-based) and AutoDock Vina (physics-based) molecular docking. Benchmarks, accuracy, speed, and when to use each.
Skip the painful local setup. Run AutoDock Vina molecular docking in the cloud via API — just send SMILES and a PDB target to get binding poses and affinity scores back.
Step-by-step beginner guide to molecular docking with AutoDock Vina. Learn receptors, ligands, scoring functions, and dock aspirin to COX-2 using the SciRouter API.
Compare AutoDock Vina, Schrodinger Glide, and CCDC GOLD across accuracy, speed, licensing, cost, and API accessibility. Find the best docking tool for your research.
Skip the painful local installation of AutoDock Vina. Run molecular docking in the cloud via API — just send SMILES and a PDB target to get binding poses back.
Learn molecular docking from scratch with AutoDock Vina. Understand scoring functions, search boxes, exhaustiveness, and run your first docking via API with Python.
Compare AutoDock Vina, Schrodinger Glide, and CCDC GOLD across accuracy, speed, licensing, and cost. Find the best docking tool for your research.
Boltz-2 is an open-source biomolecular complex predictor from MIT. Learn how it predicts protein-ligand, protein-DNA, and antibody-antigen structures, and how to use it via API.
Head-to-head comparison of Boltz-2 and AlphaFold3. Compare accuracy, speed, licensing, input types, and API availability for biomolecular complex prediction.
Learn why protein structure matters, compare ESMFold, AlphaFold, and Boltz-2, and predict your first structure in 10 lines of Python via SciRouter's API.
Architecture comparison, speed benchmarks, accuracy trade-offs, and a decision framework for choosing between ESMFold and AlphaFold2 for protein structure prediction.
Step-by-step tutorial for running AI-powered molecular docking with DiffDock via API. No installation, no search box definition — just protein + ligand in, binding poses out.
Master SMILES notation for representing molecules as text. Syntax rules, 10 common molecules, format conversion, and calculating properties — all with working API examples.
Understand ADMET properties — Absorption, Distribution, Metabolism, Excretion, and Toxicity — and how AI predicts them. Includes working API tutorial and result interpretation.
From neoantigen discovery to mRNA optimization — how AI is accelerating personalized cancer vaccines. Includes a walkthrough of SciRouter's Vaccine Design Studio.
Connect Claude or GPT to 30+ scientific computing tools using Model Context Protocol. Tutorial for building an AI agent that folds proteins, docks molecules, and screens compounds.
Skip the painful RDKit installation. Calculate molecular weight, LogP, TPSA, and drug-likeness from SMILES strings with one API call. Includes batch processing examples.
What pLDDT scores mean in protein structure prediction, how to interpret them, color-coding conventions, and when to trust (or distrust) your folding results.
Compare the top protein structure prediction tools: ESMFold, AlphaFold2, Boltz-2, RoseTTAFold, OmegaFold, OpenFold, and ColabFold. Speed, accuracy, and accessibility ranked.
Tutorial for virtual screening at scale using SciRouter. Batch dock molecules, filter by drug-likeness, rank by binding affinity — all through API calls.
Learn Lipinski's Rule of Five for predicting oral drug absorption. What the rules are, why they matter, famous exceptions, and how to check any molecule via API.
Looking beyond AlphaFold? Explore ESMFold, Boltz-2, RoseTTAFold, OmegaFold, and more. Compare features, access methods, and when each tool shines.
What is MCP, how it connects AI assistants to scientific tools, and why it matters for research automation. Non-technical guide for scientists and lab managers.
Survey of modern CADD tools for molecular docking, ADMET prediction, virtual screening, and lead optimization. From legacy software to cloud-native APIs.
How machine learning is accelerating materials discovery — from batteries to semiconductors. Google DeepMind's GNoME, crystal structure prediction, and the future of materials informatics.
What crystal structure prediction is, why it's one of science's hardest problems, and how modern methods from DFT to ML are solving it.
Battery chemistry 101 — cathode materials, energy density, stability, and what makes LiFePO4 different from NMC. Plus how to analyze battery materials via API.
Compare the top materials informatics platforms: Materials Project, AFLOW, NOMAD, GNoME, and SciRouter Crystal Explorer. Features, data, and accessibility ranked.
Google DeepMind's GraphCast generates 10-day forecasts in under 60 seconds — 1000x faster than supercomputers. Here's how AI weather models work, why they're winning, and what it means for forecasting.
How GraphCast works: GNN architecture, ERA5 training data, autoregressive forecasting, accuracy benchmarks vs ECMWF HRES, and what it means for the future of meteorology.
Access historical climate data from NASA POWER, ERA5, and NOAA via API. Temperature, precipitation, solar, and wind data for agriculture, construction, energy, and research.
Measure climate change locally using historical temperature, precipitation, and extreme event data. Real examples from NYC, London, and Phoenix. Python code to analyze your city.
Use Meta's Segment Anything Model (SAM) to analyze satellite imagery. Tutorial with API examples for urban planning, agriculture, and disaster response.
From raw satellite data to actionable insights — classification, segmentation, and object detection techniques for satellite imagery with AI.
How satellite monitoring and AI detect deforestation in real time. GLAD alerts, Global Forest Watch, and building your own detection pipeline.
Introduction to remote sensing — satellite types, sensors, what you can measure from space, and how to get started with free data from Sentinel and Landsat.
Why LLMs need external tools for science, tool-use approaches (function calling, MCP), and how to connect SciRouter's 30+ scientific tools to GPT-4 and Claude.
The vision of AI agents autonomously discovering drugs — hypothesis generation, experiment design, and analysis. How SciRouter provides the tool infrastructure for agent-driven discovery.
Build scientific computing pipelines without writing code. Visual workflow builders, drag-and-drop tools, and SciRouter's Agent Builder for drug screening and protein analysis.
Use Claude's tool-use capabilities with SciRouter MCP to fold proteins, dock molecules, and screen compounds — all through natural language conversation.
Compare the top molecular docking tools: DiffDock, AutoDock Vina, Glide, GOLD, and Boltz-2. Speed, accuracy, licensing, and API access ranked.
A comprehensive list of free bioinformatics tools for protein folding, molecular docking, ADMET prediction, genomics, and more. Open source and API-accessible options.
Head-to-head comparison of three scientific computing platforms. Compare tools, pricing, API access, and which is best for protein folding, docking, and drug discovery.
Understand drug-likeness: what makes a molecule likely to become a drug. Lipinski rules, Veber criteria, PAINS filters, and how to check any molecule via API.
What is protein folding, why it matters, and how AI solved one of biology's grand challenges. A friendly guide for non-scientists with interactive examples.
Compare Chai-1, AlphaFold 3, and Boltz-2 for protein-ligand complex prediction. Architecture, accuracy benchmarks, GPU requirements, speed, and API accessibility side by side.
Learn how Chai-1 predicts protein-ligand complexes with state-of-the-art accuracy. Compare to AlphaFold3 and DiffDock, explore use cases, and try it via SciRouter API.
Learn inverse folding with ProteinMPNN — design amino acid sequences for target protein structures. Step-by-step tutorial with SciRouter API examples.
Compare ProteinMPNN, RFdiffusion, and Chroma for AI protein design. Inverse folding vs backbone generation vs generative design — architecture, use cases, and when to use each.
Design therapeutic antibodies computationally with ImmuneBuilder, AntiFold, and SciRouter's Antibody Design Lab. CDR design, structure prediction, and humanization in one workflow.
Compare ImmuneBuilder, ABodyBuilder2, and IgFold for antibody structure prediction. CDR loop accuracy, speed benchmarks, nanobody support, and how to run them via API.
Compare BioReason-Pro (multimodal reasoning), ProteInfer (CNN classification), and InterPro (signature database) for GO term prediction. Speed, accuracy, interpretability, and when to use each.
How generative chemistry and REINVENT4 design novel drug-like molecules from scratch. SciRouter Molecular Design Lab walkthrough with working API examples.
Compare REINVENT4, MolMIM, and DrugEx for de novo drug design. Architecture, drug-likeness, ADMET filtering, and how to generate molecules via API.
Learn how AlphaGenome predicts the functional impact of DNA variants on gene expression, splicing, chromatin accessibility, and TF binding. Comparison to Enformer, API tutorial, and applications in GWAS, cancer genomics, and pharmacogenomics.
Predict protein 3D structure from amino acid sequence using the SciRouter ESMFold API. No GPU, no Docker, no model weights — just pip install and three lines of Python.
Step-by-step tutorial for molecular docking with DiffDock via the SciRouter API. Prepare protein and ligand inputs, submit a docking job, and interpret binding poses — all in Python.
Design therapeutic antibodies computationally using ImmuneBuilder for structure prediction and AntiFold for CDR sequence design. Full Python tutorial with the SciRouter SDK.
Screen thousands of molecules for ADMET properties using the SciRouter API. Filter drug-like candidates by absorption, distribution, metabolism, excretion, and toxicity predictions.
Compare ADMET-AI, ADMETlab 3.0, and SwissADME for drug property prediction. Endpoint coverage, API access, batch screening, and practical recommendations for medicinal chemistry workflows.
Build an AI drug discovery agent with LangChain and SciRouter. Fold proteins, dock molecules, and screen compounds — all orchestrated by an LLM.
Set up SciRouter's MCP server so Claude and other AI agents can discover and call scientific computing tools automatically.
Compare Isomorphic Labs' IsoDDE (AlphaFold 4), Chai-1, and Boltz-2 for drug discovery complex prediction. Accuracy, licensing, API access, and why open-source alternatives matter.
Deep dive into NVIDIA's Proteina-Complexa — the open-source protein binder design model achieving 63.5% hit rates with picomolar affinities. How it works, ICLR 2026 results, and comparison to RFdiffusion and ProteinMPNN.
What is ESM3? How does ESM Cambrian differ from ESM-2? Understand EvolutionaryScale's generative protein foundation models, licensing, and what they mean for drug discovery and protein engineering.
Compare OpenFold and AlphaFold2 for protein structure prediction. Accuracy benchmarks, licensing differences, training flexibility, commercial use, and which to choose for your research.
Compare OpenFold and AlphaFold for protein structure prediction. Accuracy, licensing, training, customizability, and when to use each. Includes API code example and alternatives like ESMFold and Boltz-2.
Compare AlphaGenome, Enformer, and Sei across accuracy, coverage, tissue specificity, and speed. Practical guidance for choosing the right genomic variant effect prediction tool.