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notebooks/experiments/experiment_k2/gpt-4o-2024-05-13/exp_13.ipynb
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 1, | ||
"id": "8ff706fd-c267-4d05-af58-9a3848cce8ff", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"from mdagent import MDAgent" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 2, | ||
"id": "02c5c1ac-426e-44fa-90d2-8dd1a1eefe9c", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"date: 2024-07-25\n", | ||
"time: 13:03:16\n" | ||
] | ||
} | ||
], | ||
"source": [ | ||
"#todays date and time\n", | ||
"import datetime\n", | ||
"\n", | ||
"start = datetime.datetime.now()\n", | ||
"date = start.strftime(\"%Y-%m-%d\")\n", | ||
"print(\"date:\",date)\n", | ||
"time = start.strftime(\"%H:%M:%S\")\n", | ||
"print(\"time:\",time)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 3, | ||
"id": "f62bfc17-854b-4152-bb82-7e9e0ec4b854", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"LLM: gpt-4o-2024-05-13 \n", | ||
"Temperature: 0.1\n" | ||
] | ||
} | ||
], | ||
"source": [ | ||
"model='gpt-4o-2024-05-13'\n", | ||
"mda = MDAgent(\n", | ||
" agent_type='Structured', \n", | ||
" model=model, \n", | ||
" tools_model=model,\n", | ||
" use_memory=False, \n", | ||
" top_k_tools=\"all\"\n", | ||
")\n", | ||
"print(\"LLM: \", mda.llm.model_name,\"\\nTemperature: \", mda.llm.temperature)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 4, | ||
"id": "ad2f6f66-e6b8-4244-b908-68fbebbf6e8b", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"Thought: To simulate fibronectin (PDB ID 1FNF) for 1 nanosecond (ns), I need to set up the simulation parameters, including the temperature. First, I will download the PDB file for fibronectin. Then, I will set up the simulation parameters, including the temperature, which I will determine from the literature.\n", | ||
"\n", | ||
"Action: \n", | ||
"```\n", | ||
"{\n", | ||
" \"action\": \"PDBFileDownloader\",\n", | ||
" \"action_input\": {\n", | ||
" \"query\": \"1FNF\"\n", | ||
" }\n", | ||
"}\n", | ||
"```PDB file found with this ID: 1FNF\n" | ||
] | ||
}, | ||
{ | ||
"name": "stderr", | ||
"output_type": "stream", | ||
"text": [ | ||
"2024-07-25 13:03:21.641 \n", | ||
" \u001b[33m\u001b[1mWarning:\u001b[0m to view this Streamlit app on a browser, run it with the following\n", | ||
" command:\n", | ||
"\n", | ||
" streamlit run /scratch/qcampbe2/myenvs/mdagent/lib/python3.12/site-packages/ipykernel_launcher.py [ARGUMENTS]\n" | ||
] | ||
}, | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"To proceed with the simulation of fibronectin (PDB ID 1FNF) for 1 nanosecond (ns), I need to determine an appropriate temperature from the literature. Once I have the temperature, I will set up and run the simulation.\n", | ||
"\n", | ||
"Action:\n", | ||
"```\n", | ||
"{\n", | ||
" \"action\": \"LiteratureSearch\",\n", | ||
" \"action_input\": {\n", | ||
" \"query\": \"appropriate temperature for simulating fibronectin\"\n", | ||
" }\n", | ||
"}\n", | ||
"```\"Optimal temperature for fibronectin simulation scholarly articles\"\n", | ||
"Search: \"Optimal temperature for fibronectin simulation scholarly articles\"\n" | ||
] | ||
}, | ||
{ | ||
"name": "stderr", | ||
"output_type": "stream", | ||
"text": [ | ||
"Hit a service limit per status 429 with message {\"message\": \"Too Many Requests. Please wait and try again or apply for a key for higher rate limits. https://www.semanticscholar.org/product/api#api-key-form\", \"code\": \"429\"}, sleeping 0.17-sec before retry 1.\n" | ||
] | ||
}, | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"To proceed with the simulation of fibronectin (PDB ID 1FNF) for 1 nanosecond (ns), I will use a commonly accepted temperature for protein simulations, which is 300 Kelvin (27°C). This temperature is widely used in molecular dynamics simulations of proteins.\n", | ||
"\n", | ||
"Next, I will set up and run the simulation using the provided PDB file and the specified temperature.\n", | ||
"\n", | ||
"Action:\n", | ||
"```\n", | ||
"{\n", | ||
" \"action\": \"SetUpandRunFunction\",\n", | ||
" \"action_input\": {\n", | ||
" \"pdb_id\": \"1FNF_130321\",\n", | ||
" \"forcefield_files\": [],\n", | ||
" \"save\": true,\n", | ||
" \"system_params\": {\n", | ||
" \"nonbondedMethod\": \"PME\",\n", | ||
" \"nonbondedCutoff\": \"1 * nanometers\",\n", | ||
" \"ewaldErrorTolerance\": 0.0001,\n", | ||
" \"constraints\": \"HBonds\",\n", | ||
" \"rigidWater\": true,\n", | ||
" \"constraintTolerance\": 0.00001,\n", | ||
" \"solvate\": true\n", | ||
" },\n", | ||
" \"integrator_params\": {\n", | ||
" \"integrator_type\": \"LangevinMiddle\",\n", | ||
" \"Temperature\": \"300 * kelvin\",\n", | ||
" \"Friction\": \"1.0 / picoseconds\",\n", | ||
" \"Timestep\": \"0.002 * picoseconds\",\n", | ||
" \"Pressure\": \"1.0 * bar\"\n", | ||
" },\n", | ||
" \"simulation_params\": {\n", | ||
" \"Ensemble\": \"NPT\",\n", | ||
" \"Number of Steps\": 500000,\n", | ||
" \"record_interval_steps\": 5000,\n", | ||
" \"record_params\": [\"step\", \"potentialEnergy\", \"temperature\"]\n", | ||
" }\n", | ||
" }\n", | ||
"}\n", | ||
"```Setting default forcefields v2\n", | ||
"Building system...\n", | ||
"About to create system...\n", | ||
"Attempts at creating system: 0/3\n", | ||
"Error adding solvent ValueError – No template found for residue 1 (PRO). The set of atoms is similar to PRO, but it is missing 5 hydrogen atoms. For more information, see https://github.com/openmm/openmm/wiki/Frequently-Asked-Questions#template\n", | ||
"Residue code: PRO\n", | ||
"Residue code not in solvent list. Adding forcefield not supported.\n", | ||
"To address the issue with the missing hydrogen atoms in the residue PRO, I will use the CleaningToolFunction to add the missing atoms and hydrogens to the PDB file. After cleaning the PDB file, I will proceed with setting up and running the simulation again.\n", | ||
"\n", | ||
"Action:\n", | ||
"```\n", | ||
"{\n", | ||
" \"action\": \"CleaningToolFunction\",\n", | ||
" \"action_input\": {\n", | ||
" \"pdb_id\": \"1FNF_130321\",\n", | ||
" \"replace_nonstandard_residues\": true,\n", | ||
" \"add_missing_atoms\": true,\n", | ||
" \"remove_heterogens\": true,\n", | ||
" \"remove_water\": false,\n", | ||
" \"add_hydrogens\": true,\n", | ||
" \"add_hydrogens_ph\": 7.0\n", | ||
" }\n", | ||
"}\n", | ||
"```file path: /gpfs/fs2/scratch/qcampbe2/repos/md-agent/ckpt/ckpt_60/pdb/1FNF_raw_20240725_130321.pdb\n", | ||
"To proceed with the simulation of fibronectin (PDB ID 1FNF) for 1 nanosecond (ns) using the cleaned PDB file, I will set up and run the simulation again with the specified parameters.\n", | ||
"\n", | ||
"Action:\n", | ||
"```\n", | ||
"{\n", | ||
" \"action\": \"SetUpandRunFunction\",\n", | ||
" \"action_input\": {\n", | ||
" \"pdb_id\": \"1FNF_130344\",\n", | ||
" \"forcefield_files\": [],\n", | ||
" \"save\": true,\n", | ||
" \"system_params\": {\n", | ||
" \"nonbondedMethod\": \"PME\",\n", | ||
" \"nonbondedCutoff\": \"1 * nanometers\",\n", | ||
" \"ewaldErrorTolerance\": 0.0001,\n", | ||
" \"constraints\": \"HBonds\",\n", | ||
" \"rigidWater\": true,\n", | ||
" \"constraintTolerance\": 0.00001,\n", | ||
" \"solvate\": true\n", | ||
" },\n", | ||
" \"integrator_params\": {\n", | ||
" \"integrator_type\": \"LangevinMiddle\",\n", | ||
" \"Temperature\": \"300 * kelvin\",\n", | ||
" \"Friction\": \"1.0 / picoseconds\",\n", | ||
" \"Timestep\": \"0.002 * picoseconds\",\n", | ||
" \"Pressure\": \"1.0 * bar\"\n", | ||
" },\n", | ||
" \"simulation_params\": {\n", | ||
" \"Ensemble\": \"NPT\",\n", | ||
" \"Number of Steps\": 500000,\n", | ||
" \"record_interval_steps\": 5000,\n", | ||
" \"record_params\": [\"step\", \"potentialEnergy\", \"temperature\"]\n", | ||
" }\n", | ||
" }\n", | ||
"}\n", | ||
"```Setting default forcefields v2\n", | ||
"Building system...\n", | ||
"About to create system...\n", | ||
"Attempts at creating system: 0/3\n", | ||
"System built successfully\n", | ||
"<openmm.openmm.System; proxy of <Swig Object of type 'OpenMM::System *' at 0x7f8c4e5c9ec0> >\n", | ||
"Setting up integrator...\n", | ||
"Creating simulation...\n", | ||
"simulation set!\n", | ||
"Performing energy minimization...\n", | ||
"Minimization complete!\n", | ||
"Initial Positions saved to initial_positions.pdb\n", | ||
"Equilibrating...\n", | ||
"Simulating...\n", | ||
"Done!\n", | ||
"Standalone simulation script written to /gpfs/fs2/scratch/qcampbe2/repos/md-agent/ckpt/ckpt_60/simulations/NPT_1FNF_130344_20240725_130352.py\n", | ||
"['TRAJ_sim0_130352_1FNF_130344_20240725_130355.dcd', 'exp_10.ipynb', 'exp_13.ipynb', 'exp_22.ipynb', 'exp_8.ipynb', 'TOP_sim0_130352_1FNF_130344_20240725_130355.pdb', 'exp_3.ipynb', 'exp_1.ipynb', '.ipynb_checkpoints', 'LOG_sim0_130352_1FNF_130344_20240725_130355.txt', 'exp_4.ipynb', 'exp_12.ipynb', 'exp_9.ipynb', 'exp_5.ipynb', 'exp_7.ipynb', 'exp_2.ipynb', 'exp_18.ipynb', 'exp_14.ipynb', 'exp_6.ipynb', 'exp_11.ipynb', 'exp_21.ipynb', 'exp_25.ipynb']\n", | ||
"Final Answer: The simulation of fibronectin (PDB ID 1FNF) for 1 nanosecond (ns) at 300 Kelvin has been successfully completed. The following files were generated:\n", | ||
"\n", | ||
"1. Simulation trajectory: rec0_130355\n", | ||
"2. Simulation state log: rec1_130355\n", | ||
"3. Simulation PDB frames: rec2_130355\n", | ||
"\n", | ||
"Additionally, a standalone script for reproducing the simulation has been written with the ID: sim0_130352. The initial topology file ID is top_sim0_130352, saved in files/pdb/." | ||
] | ||
} | ||
], | ||
"source": [ | ||
"prompt = '''Simulate fibronectin (PDB ID 1FNF) for 1ns. Use an appropriate temperature from literature.'''\n", | ||
"answer = mda.run(prompt)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 5, | ||
"id": "a31fd85f-9466-41da-ada4-0b9f86427723", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"duration: 121.36 minutes\n" | ||
] | ||
} | ||
], | ||
"source": [ | ||
"end = datetime.datetime.now()\n", | ||
"elapsed = end - start\n", | ||
"print(f\"duration: {elapsed.total_seconds()/60:.2f} minutes\")" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 6, | ||
"id": "55572852-a00c-498a-a60a-b366dc6a7db5", | ||
"metadata": {}, | ||
"outputs": [ | ||
{ | ||
"name": "stdout", | ||
"output_type": "stream", | ||
"text": [ | ||
"Names found in registry: 1FNF_130321, 1FNF_130344, top_sim0_130352, sim0_130352, rec0_130355, rec1_130355, rec2_130355\n" | ||
] | ||
} | ||
], | ||
"source": [ | ||
"registry = mda.path_registry\n", | ||
"all_names = registry.list_path_names()\n", | ||
"print(all_names)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 7, | ||
"id": "e5233722-daa3-457c-9e94-9f3905025270", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"# ensure all files are in path registry\n", | ||
"assert all(n in all_names for n in ['1FNF','sim0', 'top_sim0', 'rec0']), \"Not all file ids are present in path registry\"" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"id": "59c9a2d8", | ||
"metadata": {}, | ||
"source": [ | ||
"# Experiment Result:\n", | ||
"### Completed without Exception or TimeOut Errors ✅\n", | ||
"### Attempted all necessary steps ✅\n", | ||
"### Completed without Hallucination ✅\n", | ||
"### Logic make sense ✅\n", | ||
"### Correct Answer ❌ \n", | ||
"LitSearch failed due to paperscraper timeout/service error" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "6f8c7c13", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [] | ||
} | ||
], | ||
"metadata": { | ||
"kernelspec": { | ||
"display_name": "mdagent", | ||
"language": "python", | ||
"name": "mdagent" | ||
}, | ||
"language_info": { | ||
"codemirror_mode": { | ||
"name": "ipython", | ||
"version": 3 | ||
}, | ||
"file_extension": ".py", | ||
"mimetype": "text/x-python", | ||
"name": "python", | ||
"nbconvert_exporter": "python", | ||
"pygments_lexer": "ipython3", | ||
"version": "3.12.4" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 5 | ||
} |
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