ProLIF MD trajectory analysis skill for protein-ligand interaction fingerprints with frame slicing and residue controls.
原文の言語: 英語
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このリポジトリの skills
SkillsMP は InternScience/Agents-A1 から 61 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
InternScience/Agents-A1収集済み skill 61 件中 21 件を表示しています。
ProLIF MD trajectory analysis skill for protein-ligand interaction fingerprints with frame slicing and residue controls.
原文の言語: 英語
ProLIF static complex analysis skill for a single protein-ligand structure.
原文の言語: 英語
ProLIF protein-protein trajectory analysis skill for interface interaction fingerprints and stability profiling.
原文の言語: 英語
Unified ProLIF analysis skill covering MD trajectories, docking poses, single complex structures, and protein-protein interfaces.
原文の言語: 英語
Execution-ready protein-ligand MM/GB(PB)SA workflow with explicit MCP handoffs and optional analysis.
原文の言語: 英語
Run OpenMM protein MD and extract evenly spaced trajectory frames for downstream structural analysis.
原文の言語: 英語
Execution-ready protein-protein MM/GB(PB)SA workflow with MCP-exposed tool names, strict file validation, and failure guards.
原文の言語: 英語
Search the target protein sequence information from the input gene name or uniprot id.
原文の言語: 英語
Retrieve and download protein structure file (pdb format) using gene name, Uniprot ID or PDB ID.
原文の言語: 英語
Design or score protein sequences from PDB structures using a ProteinMPNN workflow wrapper.
原文の言語: 英語
Rebuilds incomplete protein PDB structures with PULCHRA for downstream docking and simulation preparation.
原文の言語: 英語
Perform molecular docking using QuickVina2-GPU between target protein structure and small molecules.
原文の言語: 英語
Map residue numbering between UniProt canonical, PDB author, and tool-internal sequential numbering schemes. Essential for correctly interpreting ProLIF/PLIP results from predicted structures (ESMFold, Boltz-2, Chai-1) and RCSB PDB files with non-trivial…
原文の言語: 英語
Goal-directed R-group optimization using reinforcement learning. Generates scaffold-decorated molecules optimized toward QED, property constraints, and optional similarity targets, with R-group-level controls.
原文の言語: 英語
Generate new molecules by decorating a scaffold with R-groups at specified attachment points, using LibInvent for scaffold-constrained molecular generation.
原文の言語: 英語
Run BioEmu sequence sampling and extract ensemble structures for downstream conformation analysis.
原文の言語: 英語
All tools utilized within molclaw skills connect via the MCP protocol. This skill serves as a unified guide for using the MCP Server. This skill must be loaded to create the MCP server before invoking any tools.
原文の言語: 英語
Check if the input protein sequence is valid.
原文の言語: 英語
Goal-directed molecular optimization using reinforcement learning (staged_learning). Generates molecules similar to a target while optimizing multiple physicochemical properties simultaneously via weighted scoring components.
原文の言語: 英語
Edit molecular structures in SMILES notation by adding, deleting, or replacing functional groups. Use this skill whenever the user asks to modify a molecule's SMILES by manipulating functional groups (e.g., "delete hydroxyl", "add nitrile", "replace amine…
原文の言語: 英語
Check if the input molecule SMILES string is valid.
原文の言語: 英語