ProLIF MD trajectory analysis skill for protein-ligand interaction fingerprints with frame slicing and residue controls.
Skills in this repository
InternScience/Agents-A1 - Page 2
SkillsMP has collected 61 skills from InternScience/Agents-A1. Open a skill to review its source and details.
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ProLIF static complex analysis skill for a single protein-ligand structure.
ProLIF protein-protein trajectory analysis skill for interface interaction fingerprints and stability profiling.
Unified ProLIF analysis skill covering MD trajectories, docking poses, single complex structures, and protein-protein interfaces.
Execution-ready protein-ligand MM/GB(PB)SA workflow with explicit MCP handoffs and optional analysis.
Run OpenMM protein MD and extract evenly spaced trajectory frames for downstream structural analysis.
Execution-ready protein-protein MM/GB(PB)SA workflow with MCP-exposed tool names, strict file validation, and failure guards.
Search the target protein sequence information from the input gene name or uniprot id.
Retrieve and download protein structure file (pdb format) using gene name, Uniprot ID or PDB ID.
Design or score protein sequences from PDB structures using a ProteinMPNN workflow wrapper.
Rebuilds incomplete protein PDB structures with PULCHRA for downstream docking and simulation preparation.
Perform molecular docking using QuickVina2-GPU between target protein structure and small molecules.
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…
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.
Generate new molecules by decorating a scaffold with R-groups at specified attachment points, using LibInvent for scaffold-constrained molecular generation.
Run BioEmu sequence sampling and extract ensemble structures for downstream conformation analysis.
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.
Check if the input protein sequence is valid.
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.
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…
Check if the input molecule SMILES string is valid.