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이 저장소의 skills
SkillsMP는 SpectrAI-Initiative/InnoClaw에서 221개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
SpectrAI-Initiative/InnoClaw수집된 skill 221개 중 40개를 표시합니다.
Compound-to-Drug Analysis Pipeline - Full compound-to-drug pipeline: name-to-SMILES conversion, structure analysis, drug-likeness, and FDA drug lookup. Use this skill for drug development tasks involving NameToSMILES ChemicalStructureAnalyzer calculate mol…
원문 언어: 영어
Comprehensive protein analysis combining InterProScan domain identification with BLAST similarity search to provide complete functional and evolutionary annotation.
원문 언어: 영어
Given an rsID, query multiple databases (dbSNP, FAVOR, GWAS Catalog, ClinVar, gnomAD, PharmGKB, ClinGen) for comprehensive annotation. Use when user asks a general question about a variant without specifying which aspect.
원문 언어: 영어
Cross-Species Comparative Genomics - Compare genomes across species: Ensembl compara, alignment, gene trees, and NCBI taxonomy. Use this skill for comparative genomics tasks involving get info compara species sets get alignment region get genetree member…
원문 언어: 영어
Disease-Specific Compound Screening - Screen compounds for disease: get DLEPS score for disease relevance, predict ADMET, and check drug-likeness. Use this skill for drug discovery tasks involving calculate dleps score pred molecule admet calculate mol drug…
원문 언어: 영어
Disease-Drug Landscape Analysis - Map the drug landscape for a disease: OpenTargets disease drugs, FDA indications, and clinical studies. Use this skill for drug discovery tasks involving get associated drugs by target name get drug names by indication get…
원문 언어: 영어
Disease Knowledge Graph - Build disease knowledge graph: OpenTargets targets, drugs, publications, and phenotypes. Use this skill for disease informatics tasks involving get associated targets by disease efoId get associated drugs by target name get…
원문 언어: 영어
Disease Protein Profiling - Profile a disease protein: UniProt data, AlphaFold structure, InterPro domains, phenotype associations from Ensembl. Use this skill for medical proteomics tasks involving query uniprot download alphafold structure query interpro…
원문 언어: 영어
Predict a molecule's ability to reverse disease states using DLEPS (Disease-Ligand Embedding Projection Score) for drug repositioning and discovery.
원문 언어: 영어
Analyze DNA and RNA sequences including molecular weight calculation, reverse complement generation, and oligonucleotide properties.
원문 언어: 영어
Drug-Indication Mapping - Map drug indications: ChEMBL drug indications, FDA indications, OpenTargets drug associations, and literature. Use this skill for clinical informatics tasks involving get drug indication by id get indications by drug name get…
원문 언어: 영어
Drug-Drug Interaction Checker - Check interactions between multiple drugs using FDA interaction data, PubChem compound info, and ChEMBL target overlap analysis. Use this skill for clinical pharmacology tasks involving get drug interactions by drug name get…
원문 언어: 영어
Drug Metabolism Study - Study drug metabolism: FDA metabolism data, ChEMBL metabolism records, PubChem compound data, and clinical pharmacology. Use this skill for drug metabolism tasks involving get metabolism by id get pharmacokinetics by drug name get…
원문 언어: 영어
Drug Repurposing Screening - Screen existing drugs for new indications by querying FDA indications, ChEMBL mechanisms, and OpenTargets drug-disease associations. Use this skill for drug discovery tasks involving get indications by drug name get mechanism of…
원문 언어: 영어
Comprehensive Drug Safety Profile - Build a complete drug safety profile by combining FDA adverse reactions, boxed warnings, drug interactions, and contraindications. Use this skill for pharmacology tasks involving get adverse reactions by drug name get boxed…
원문 언어: 영어
Comprehensive drug screening pipeline from molecular filtering through QED/ADMET criteria to protein-ligand docking, identifying promising drug candidates.
원문 언어: 영어
Drug Target Identification Pipeline - Identify drug targets for a disease by querying OpenTargets for associated targets, then retrieve detailed target info from ChEMBL and protein data from UniProt. Use this skill for drug discovery tasks involving get…
원문 언어: 영어
Drug-Target Structural Biology - Integrate drug and target structure: get drug from ChEMBL, target structure from PDB, dock them, and predict ADMET. Use this skill for structural pharmacology tasks involving get drug by name retrieve protein data by pdbcode…
원문 언어: 영어
Drug Warning Intelligence Report - Generate drug warning report: ChEMBL drug warnings, FDA boxed warnings, adverse reactions, and environmental warnings. Use this skill for pharmacovigilance tasks involving get drug warning by id get boxed warning info by…
원문 언어: 영어
Predict the ADMET (absorption, distribution, metabolism, excretion, and toxicity) properties of the input molecules.
원문 언어: 영어
Retrieve SMILES strings from PubChem using compound names.
원문 언어: 영어
Check if the input protein sequence or molecule SMILES string is valid.
원문 언어: 영어
Generate new molecules de novo.
원문 언어: 영어
Calculate disease reversal scores for the provided molecules relative to a specific disease.
원문 언어: 영어
Compute the drug-likeness metrics (QED score and Number of violations of Lipinski's Rule of Five) of the input candidate molecules (SMILES format).
원문 언어: 영어
Use ESMFold model to predict 3D structure of the input protein sequence.
원문 언어: 영어
Implement data transmission between the local computer and the MCP Server using Base64 encoding
원문 언어: 영어
Generate new molecules sampling from the input two warhead fragments.
원문 언어: 영어
Calculate different types of molecular properties based on SMILES strings, covering basic physicochemical properties, hydrophobicity, hydrogen bonding capability, molecular complexity, topological structures, charge distribution, and custom complexity…
원문 언어: 영어
Compute the Tanimoto similarities between a target molecule and a list of candidate molecules using Morgan fingerprints.
원문 언어: 영어
Generate new molecules sampling from the input molecule.
원문 언어: 영어
license: MIT license
원문 언어: 영어
Generate new peptide molecules sampling from the input peptide sequence.
원문 언어: 영어
Given a protein sequence and its structure, employ ProSST model to predict mutation effects and obtain the top-k mutated sequences.
원문 언어: 영어
Generate new molecules sampling from the input scaffold.
원문 언어: 영어
Search the protein information from the input gene name and downloads the optimal PDB or AlphaFold structures.
원문 언어: 영어
Electrical Circuit Analysis - Analyze electrical circuit: compute capacitance, convert resistance units, calculate total charge, and duty cycle. Use this skill for electrical engineering tasks involving convert resistance kOhm to Ohm calculate geometric term…
원문 언어: 영어
Electromagnetic Field Analysis - Analyze EM fields: vacuum permittivity, total charge, radiation pressure, and photon calculations. Use this skill for electromagnetics tasks involving calculate vacuum permittivity calculate total charge calculate radiation…
원문 언어: 영어
Energy Unit Conversion Pipeline - Convert between energy units and analyze: MeV to Joules, scientific notation, and error calculation. Use this skill for physics tasks involving convert energy MeV to J convert to scientific notation format scientific notation…
원문 언어: 영어
Retrieve genomic sequences from Ensembl database using transcript or gene IDs to obtain nucleotide and protein sequences.
원문 언어: 영어