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.
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.
Explore the dark genome — 98% of non-coding DNA — and how cancer reactivates hidden genes like MAGE-A3, NY-ESO-1, and HERVs. Walkthrough of SciRouter DarkScan for neoantigen discovery.
Complete guide to computational mRNA vaccine design — codon optimization, antigen engineering, MHC binding prediction, and hands-on SciRouter API walkthrough with Python SDK examples.
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 AlphaGenome, Enformer, and Sei across accuracy, coverage, tissue specificity, and speed. Practical guidance for choosing the right genomic variant effect prediction tool.
Run molecular docking online without installing software. Step-by-step DiffDock and AutoDock Vina tutorials, docking ibuprofen to COX-2, interpreting scores, and batch virtual screening via API.
What is latent space in biology? Learn how VAEs, diffusion models, and RL navigate molecular and protein space to design new drugs and proteins. The definitive guide for biologists.
Learn how synthetic accessibility scores predict whether a molecule can be synthesized. SA score calculator, retrosynthesis basics, and real drug examples with API walkthrough.
Free Lipinski Rule of Five calculator from SMILES. Check molecular weight, LogP, HBD, HBA instantly. History, exceptions, beyond Ro5, and top FDA drug analysis.
Screen drug candidates for ADMET liabilities using AI. Compare SwissADME vs ADMETlab vs SciRouter, batch-screen compounds via API, and interpret results with real failed-drug examples.
Step-by-step ProteinMPNN tutorial: design protein sequences via API, validate with ESMFold round-trip folding, and run full engineering workflows with the SciRouter Python SDK.
The complete guide to AI drug discovery in 2026. Virtual screening, lead optimization, ADMET prediction, and end-to-end pipelines with working Python SDK examples.
Design better proteins in minutes with AI. ESMFold, ProteinMPNN, ThermoMPNN, and SoluProt workflows for stability optimization and rational protein engineering.
Design therapeutic antibodies in hours with AI. ImmuneBuilder structure prediction, AntiFold CDR design, and humanization — from target antigen to candidate in one afternoon.
How AI generates novel drug molecules from scratch. REINVENT4 reinforcement learning, scoring functions, post-generation filtering, and hands-on SciRouter walkthrough.
Turn hit compounds into patentable drug candidates with AI. Multi-parameter optimization, BRAF V600E case study, and Lead Optimization Lab walkthrough.
Predict neoantigens from tumor mutations for personalized immunotherapy. TMB scoring, MHC binding prediction, and clinical trial context with hands-on API tutorial.
Head-to-head comparison of ESMFold, AlphaFold3, and Boltz-2 for protein structure prediction in 2026. Benchmarks, speed, accuracy, and decision guide.
Score protein mutations for stability with ThermoMPNN. DDG prediction explained, hands-on scoring 10 mutations, and combining with solubility for optimal engineering.
Predict protein solubility before cloning with SoluProt ML. Why proteins aggregate, hands-on predictions, and combining with stability for optimal expression.
Compare ImmuneBuilder, ABodyBuilder2, and IgFold for antibody structure prediction. CDR accuracy benchmarks, speed, and SciRouter API integration guide.
Design antibody CDR loops with AntiFold. Structure-aware sequence optimization for binding affinity, hands-on tutorial with SciRouter API.
Design nanobodies (VHH single-domain antibodies) with AI. Advantages over conventional antibodies, engineering workflow, and SciRouter integration.
Compare REINVENT4, MolMIM, and DrugEx for AI molecule generation. Architecture, strengths, benchmarks, and running REINVENT4 via SciRouter API.
End-to-end drug design workflow: generate molecules, validate properties, screen ADMET, check synthesizability, and order synthesis. Full Python SDK tutorial.
Use matched molecular pair analysis for systematic SAR. Identify activity cliffs, predict property changes from single-atom modifications, and optimize leads.
Balance potency, ADMET, and synthesizability with multi-parameter optimization. Weighted scoring, Pareto fronts, and automated compound prioritization.
Screen 1,000 compounds with virtual screening. Pocket detection, DiffDock batch docking, consensus scoring, and ADMET filtering with EGFR case study.
Find druggable binding pockets on any protein. Druggability scoring, pocket volume analysis, and KRAS G12C allosteric pocket case study with free tool.
Learn SMILES notation from scratch. Reading and writing molecular structures, practice molecules, SMILES vs InChI, and programmatic tools.
Understand Tanimoto similarity for molecular comparison. Fingerprints, coefficient math, score interpretation, and hands-on analog searching.
Design personalized cancer vaccines with computational tools. Neoantigen prediction, mRNA construct design, and melanoma patient case study.
Build an AI drug discovery agent with LangChain and SciRouter MCP. Autonomous target analysis, compound screening, and ADMET scoring in 100 lines of Python.
Downloaded your 23andMe raw data and not sure what to do with it? Here are 7 practical things you can do — from pharmacogenomics and trait analysis to building a personal genomics dashboard.
Your 23andMe raw data is a text file with hundreds of thousands of lines. Learn what the rsid, chromosome, position, and genotype columns mean and how to parse the data.
Compare the top DNA analysis tools for 23andMe and AncestryDNA data — Promethease, SelfDecode, Genetic Genie, SciRouter, and more.
Learn how genetic variants in CYP enzymes affect drug metabolism. A beginner's guide to pharmacogenomics with real examples.
CYP2D6 metabolizes 25% of all drugs. Learn what your genotype means for codeine, tamoxifen, SSRIs, and more.
MTHFR C677T and A1298C are among the most searched genetic variants. Here's what research actually shows vs supplement marketing claims.
What are SNPs? How do you read genotype data? A complete beginner's guide to single nucleotide polymorphisms and personal genomics.
The APOE gene has three variants (e2, e3, e4) that affect Alzheimer's risk. Learn what your genotype means and its limitations.
23andMe tests 3 BRCA variants but thousands exist. Learn what DTC testing covers, what it misses, and when to see a genetic counselor.
Parse 23andMe raw data and annotate SNPs with the SciRouter API. Complete Python tutorial with working code examples.
Access 400+ curated SNP annotations via API. Trait associations, pharmacogenomics, population frequencies, and ClinVar references.
Step-by-step guide to uploading your 23andMe raw data to SciRouter and exploring your trait analysis, pharmacogenomics, and ancestry results.
Discover how the CYP1A2 rs762551 SNP determines whether you're a fast or slow caffeine metabolizer, plus ADORA2A and AHR variants that shape your coffee response.
Learn how rs4988235 in the MCM6 gene controls lactase persistence, why 65% of humans are lactose intolerant, and the remarkable convergent evolution of dairy tolerance.
Explore rs4680 (COMT Val158Met), the SNP that shapes dopamine clearance in your prefrontal cortex. Learn what warrior and worrier genotypes mean for stress, cognition, and pain.
Understand the FTO obesity variant rs9939609 — how it actually works through IRX3/IRX5, why exercise attenuates its effect by 40%, and what your genotype means for weight.
Learn about rs671 (ALDH2*2), the variant carried by 560 million people that causes alcohol flush reaction, and why it carries a serious cancer risk for drinkers.
Discover the TAS2R38 gene and PAV/AVI haplotypes that determine whether you're a supertaster, medium taster, or non-taster — and what it means for food preferences and health.
A molecular playground where you can edit sequences, predict structures with ESMFold, and design variants for BPC-157, Semaglutide, LL-37, and 27 other popular peptides.
A science-first guide to BPC-157 — its pentadecapeptide structure, gastric origin, proposed mechanisms, animal vs human evidence, and why it's grey-market. Research use only.
A peptide-chemistry guide to Ozempic and Mounjaro — incretin biology, GLP-1 vs GLP-1+GIP dual agonism, albumin-binding fatty acid tails, and why these are the fastest-growing drugs in history.
LL-37 is a 37-residue cathelicidin that kills bacteria, fungi, and viruses by disrupting their membranes — while also signaling to the human immune system. Here's the structure, mechanism, and therapeutic future.
GHK-Cu is a three-residue peptide that coordinates copper and modulates hundreds of genes involved in wound healing, collagen synthesis, and anti-inflammatory response. Cosmetic vs injectable distinctions explained.
Why short peptides break AlphaFold's MSA assumption — and how ESMFold, hydrophobicity tuning, and mutation ranking let you design novel sequences in a single browser tab.
A harm-reduction overview of the research-chemical peptide market — what we know, what we don't, and why the animal-to-human evidence gap matters for BPC-157, TB-500, Melanotan II, and others.
A guide to monoclonal antibodies — what they are, how they're made, how they work in the body, and the most important FDA-approved examples.
The story of Trastuzumab — HER2 biology, mouse antibody humanization, ADCC mechanism, and the evolution to the Enhertu antibody-drug conjugate.
How PD-1 and PD-L1 antibodies unlock T cell responses against cancer — the biology, the Nobel Prize story, clinical response rates, and combination therapy.
Bispecific antibodies like Blinatumomab (BiTE) and Teclistamab redirect T cells to cancer cells without needing MHC presentation. How the architecture works and why it's transforming hematology.
Camelid-derived single-domain antibodies (VHHs) are small, stable, and cheap to produce. How nanobodies work and why Caplacizumab was the first FDA-approved nanobody therapy.
From aspirin to Ozempic — the ten drugs that changed medicine, their discovery stories, and the science behind how each one works at the molecular level.
Christopher Lipinski's 1997 rule of five governs oral drug design. How the four criteria work, when they break down, and how to calculate drug-likeness with a modern tool.
How incretin biology and clever peptide chemistry turned 2-minute GLP-1 into once-weekly Ozempic and dual GLP-1/GIP Tirzepatide — the fastest-growing class of drugs in history.
KRAS was called undruggable for 30 years. The story of how Shokat's covalent cysteine trick cracked KRAS G12C and led to Sotorasib, the first FDA-approved KRAS inhibitor.
Sildenafil started as an angina drug. Minoxidil was for hypertension. Thalidomide was a sedative. How each found a new indication and what drug repurposing looks like today.