Results for “alphafold”

Fast CLI/Python queries to 20+ bioinformatics databases. Use for quick lookups: gene info, BLAST searches, AlphaFold structures, enrichment analysis. Best for interactive exploration, simple queries. For batch processing or advanced BLAST use biopython; for multi-database Python workflows use bioservices.

CLI/Python toolkit for rapid bioinformatics queries. Preferred for quick BLAST searches. Access to 20+ databases: gene info (Ensembl/UniProt), AlphaFold, ARCHS4, Enrichr, OpenTargets, COSMIC, genome downloads. For advanced BLAST/batch processing, use biopython. For multi-database integration, use bioservices.

CLI/Python toolkit for rapid bioinformatics queries. Preferred for quick BLAST searches. Access to 20+ databases: gene info (Ensembl/UniProt), AlphaFold, ARCHS4, Enrichr, OpenTargets, COSMIC, genome downloads. For advanced BLAST/batch processing, use biopython. For multi-database integration, use bioservices.

Predict biomolecular complexes with Chai-1, an open AlphaFold3-style model that folds multi-entity assemblies (proteins, ligands, nucleic acids) from a single typed FASTA — strong on antibody–antigen and protein–ligand complexes, with optional MSA and restraint inputs. Use when predicting an antibody–antigen complex, folding a mixed protein/ligand/nucleic-acid assembly described in one FASTA, or generating a complex with experimental restraints. For binding-affinity prediction or a ligand-focused co-fold prefer alterlab-boltz; for protein-only or protein–protein folding prefer alterlab-alphafold; to dock into a fixed receptor prefer alterlab-diffdock. Part of the AlterLab Academic Skills suite.

Scaffold a new ACF Composer block: ACF block, ACF Composer, block registration, Gutenberg block, block view, Blade block, InnerBlocks, block.json, block scaffold, acf:block, custom block, block category, block icon, block supports, block variants, block styles, is-style, create-block, enqueue block, block CSS, block JS, custom element, block preview parity — full custom element architecture with scoped CSS and theme variations.

Co-fold biomolecular complexes with Boltz-2, an open AlphaFold3-style model — predict protein + ligand (SMILES/CCD), protein + nucleic-acid, and multi-chain structures in one pass, with binding-affinity prediction. Use when folding a protein together with a small-molecule ligand, predicting a holo (ligand-bound) complex or its binding affinity, or co-folding protein–DNA/RNA assemblies. For protein-only or protein–protein folding without ligands prefer alterlab-alphafold; for antibody–antigen complexes prefer alterlab-chai; to dock a ligand into a FIXED receptor structure prefer alterlab-diffdock; to look up an existing structure prefer alterlab-pdb. Part of the AlterLab Academic Skills suite.

Scaffolds new Blazor web applications with the correct render mode, project structure, and authentication setup.

Scaffold and develop AI agents using OpenAI Agents SDK patterns, covering agent definition, tools, guardrails, handoffs, context, RAG pipelines, streaming, API routes, testing, and debugging.

Use when predicting RNA secondary structures, calculating minimum free energy (MFE) folds, or computing partition functions and base pairing probabilities for RNA sequences.

Scaffolds a new mobile-first page using StyleSeed Toss layout patterns, section rhythm, and existing shell components.

Scaffold a new mobile page/screen using the StyleSeed layout patterns

Kit de ferramentas CLI/Python para consultas rápidas de bioinformática. Preferido para buscas BLAST rápidas. Acesso a 20+ bancos de dados: informações de genes (Ensembl/UniProt), AlphaFold, ARCHS4, Enrichr, OpenTargets, COSMIC, downloads de genoma. Para BLAST avançado/processamento em lote, use biopython. Para integração multi-banco de dados, use bioservices.

Scaffold a new mobile-first page using StyleSeed Toss layout patterns, section rhythm, and existing shell components.

Scaffolds a program.md research program for autoresearch by auto-detecting codebase signals and interviewing for missing details.

Scaffold a new mobile page/screen using the StyleSeed layout patterns

Scaffold, implement, deploy, and debug Adobe Runtime actions with consistent layout, validation, and error handling.

Scaffold a new mobile-first page using StyleSeed Toss layout patterns, section rhythm, and existing shell components.

Scaffold a new mobile-first page using StyleSeed Toss layout patterns, section rhythm, and existing shell components.

Scaffold a new mobile-first page using StyleSeed Toss layout patterns, section rhythm, and existing shell components.

Build, register, and gate AI-callable tool endpoints using the OpenSea Tool Registry (ERC-8257) on Base, with NFT ownership, subscription, trait, or pay-per-call access control.

Detects whether current market conditions match David Tepper's historic panic-buy signal by combining VIX, FearScore, and a quality filter.

Scaffold a new mobile-first page using StyleSeed Toss layout patterns, section rhythm, and existing shell components.

Systematically deobfuscate multi-layer PowerShell malware using AST analysis, dynamic tracing, and tools like PSDecode and PowerDecode to reveal hidden payloads and C2 infrastructure.

Guides AI agents to apply advanced mathematical and probabilistic techniques (Bloom filters, HyperLogLog, FFT, etc.) for large-scale data problems where classical algorithms are optimal but math offers better asymptotic bounds.

Scaffold a new mobile-first page using StyleSeed Toss layout patterns, section rhythm, and existing shell components.

Aggregates market-wide sentiment indicators including VIX, Put/Call ratio, Fear & Greed Index, market breadth, and sector rotation to classify the current regime as risk-on, risk-off, or neutral.

Scaffolds a new mobile-first page using StyleSeed Toss layout patterns, section rhythm, and existing shell components.

Scaffold a new mobile-first page using StyleSeed Toss layout patterns, section rhythm, and existing shell components.

Scaffold a new mobile-first page using StyleSeed Toss layout patterns, section rhythm, and existing shell components.

Build, register, and gate AI-callable tool endpoints using the OpenSea Tool Registry (ERC-8257) on Base. Scaffold HTTPS tools with JSON Schema interfaces, register them onchain, gate access via NFT ownership or x402 pay-per-call (USDC), and call gated tools.