--- title: AmberMDFlow emoji: 🧬 colorFrom: blue colorTo: indigo sdk: docker app_port: 7860 short_description: Web-based MD pipeline to setup simulation for AMBER --- # AmberMDFlow **AmberMDFlow** is a web-based pipeline for preparing structures, setting up molecular dynamics (MD) simulations with the AMBER force field. It integrates structure completion (ESMFold), preparation, force field parameterization, simulation file generation, and PLUMED-based biased MD in a single interface. This is the beta version. --- ## Note - If you plan to dock ligands and have filled missing residues in the protein chain using ESMFold, you should also energy-minimize the structure. - The **Fill Missing Residues** option works only for PDB files retrieved from the RCSB database, as it relies on the REMARK 465 records to identify missing residues. - The public ESMFold API is used to predict protein structures from input sequences, and it supports sequences of up to 400 amino acids. --- ## Features | Section | Description | |--------|-------------| | **Protein Loading** | Upload PDB files or fetch from RCSB PDB; 3D visualization with NGL | | **Fill Missing Residues** | Detect missing residues (RCSB annotations), complete with ESMFold, optional trimming and energy minimization of predicted structure| | **Structure Preparation** | Remove water/ions/H; add ACE/NME capping; chain and ligand selection; GAFF/GAFF2 parameterization | | **Ligand Docking** | AutoDock Vina + Meeko; configurable search box; pose selection and use selected ligand pose to setup MD simulations | | **Simulation Parameters** | Force fields (ff14SB, ff19SB), water models (TIP3P, SPCE), box size, temperature, pressure | | **Simulation Steps** | Restrained minimization, minimization, NVT, NPT, production β€” each with configurable parameters | | **Generate Files** | AMBER `.in` files, `prmtop`/`inpcrd`, PBS submission scripts | | **PLUMED** | Collective variables (PLUMED v2.9), `plumed.dat` editor, and simulation file generation with PLUMED | --- ## Requirements for Custom PDB Files For **custom PDB files** (uploaded or fetched), ensure: | Requirement | Description | |-------------|-------------| | **Chain IDs** | Chain IDs (A,B,C..) must be clearly marked in the PDB file. | | **Ligands as HETATM** | All ligands must be in **HETATM** records with name and IDs marked (LIG and A). | | **Standard amino acids** | AmberMDFlow supports **standard amino acids** only. Non-standard residues and residues with PTMs are currently not supported in the pipeline. | For RCSB structures, the pipeline parses the header and HETATM as provided; for your own PDBs, apply the above conventions. --- ## Quick Start Try AmberMDFlow instantly on Hugging Face Spaces (no installation required): **[https://huggingface.co/spaces/hemantn/AmberMDFlow](https://huggingface.co/spaces/hemantn/AmberMDFlow)** --- ## Installation ### Prerequisites AmberMDFlow requires scientific packages that are only available via **conda** (not PyPI). You must install these first: | Package | Purpose | |---------|---------| | `ambertools` | AMBER MD tools (tleap, antechamber, sander) | | `pymol-open-source` | Structure visualization and editing | | `autodock-vina` | AutoDock Vina 1.1.2 molecular docking (from bioconda) | | `openbabel` | Molecule format conversion | | `rdkit` | Cheminformatics toolkit | | `gemmi` | Structure file parsing (required by Meeko) | --- ### Option 1: pip install (recommended) ```bash # Step 1: Create conda environment with required tools conda create -n ambermdflow python=3.11 -y conda activate ambermdflow # Step 2: Install conda-only dependencies conda install -c conda-forge -c bioconda ambertools pymol-open-source autodock-vina openbabel rdkit gemmi -y # Step 3: Install AmberMDFlow from Test PyPI pip install --extra-index-url https://test.pypi.org/simple/ ambermdflow # Step 4: Run the web app ambermdflow ``` Open your browser at **http://localhost:7860** --- ### Option 2: Docker (no conda/pip needed) **build from source:** ```bash git clone https://github.com/nagarh/AmberMDFlow.git cd AmberMDFlow docker build -t ambermdflow . docker run -p 7860:7860 ambermdflow ``` Open your browser at **http://localhost:7860** --- ### Troubleshooting | Issue | Solution | |-------|----------| | `ModuleNotFoundError: No module named 'gemmi'` | Run: `conda install -c conda-forge gemmi` | | `vina: command not found` | Run: `conda install -c conda-forge vina` | | Port 7860 already in use | Kill the process or edit `start_web_server.py` to use a different port | --- ## Usage ### 1. Protein Loading - **Upload**: Drag-and-drop or choose a `.pdb` file. - **Fetch**: Enter a 4-character PDB ID (e.g. `1HPV`) to download from RCSB. After loading, the **Protein Preview** shows: structure ID, atom count, chains, residues, water, ions, ligands, and HETATM count. Use the 3D viewer to inspect the structure. --- ### 2. Fill Missing Residues - Click **Analyze Missing Residues** to detect gaps from RCSB metadata. - **Select chains** to complete with ESMFold. - **Trim residues** (optional): remove residues from N- or C-terminal edges; internal loops are always filled by ESMFold. - **Energy minimization** (optional): if you enable ESMFold completion, you can minimize selected chains to resolve clashes before docking. Recommended if receptor preparation (Meeko) fails later. - **Build Completed Structure** to run ESMFold and (if requested) minimization. Use **Preview Completed Structure** and **View Superimposed Structures** to compare original and completed chains. > If you use ESMFold in this workflow, please cite [ESM Atlas](https://esmatlas.com/about). --- ### 3. Structure Preparation - **Remove**: Water, ions, and hydrogens (options are pre-configured). - **Add capping**: ACE (N-terminal) and NME (C-terminal). - **Chains**: Select which protein chains to keep for force field generation. - **Ligands**: - **Preserve ligands** to keep them in the structure. - **Select ligands to preserve** (e.g. `GOL-A-1`, `LIZ-A`). Unselected ligands are dropped. - **Create separate ligand file** to export selected ligand(s) to a PDB. - **Protonate** ligand using Open Babel. Click **Prepare Structure**. The status panel reports original vs prepared atom counts, removed components, added capping, and preserved ligands. Use **View Prepared Structure** and **Download Prepared PDB** as needed. **Ligand Docking** (nested in this tab): - Select ligands to dock. - Set the **search space** (center and size in X, Y, Z) with live 3D visualization. - **Run Docking** (AutoDock Vina + Meeko). Progress and logs are shown in the docking panel. - **Select poses** per ligand and **Use selected pose** to write the chosen pose into the structure for AMBER. You can switch modes (e.g. 1–9) and jump by clicking the mode labels. --- ### 4. Simulation Parameters - **Force field**: ff14SB or ff19SB. - **Water model**: TIP3P or SPCE. - **Box size** (Γ…): padding for solvation. - **Add ions**: to neutralize (and optionally reach a salt concentration). - **Temperature** and **Pressure** (e.g. 300 K, 1 bar). - **Time step** and **Cutoff** for non-bonded interactions. If ligands were preserved, **Ligand force field** (GAFF/GAFF2) is configured here; net charge is computed before `antechamber` runs. --- ### 5. Simulation Steps Enable/disable and set parameters for: - **Restrained minimization** (steps, force constant) - **Minimization** (steps, cutoff) - **NVT heating** (steps, temperature) - **NPT equilibration** (steps, temperature, pressure) - **Production** (steps, temperature, pressure) --- ### 6. Generate Files - **Generate All Files** to create AMBER inputs (`min_restrained.in`, `min.in`, `HeatNPT.in`, `mdin_equi.in`, `mdin_prod.in`), `tleap` scripts, `submit_job.pbs`, and (after `tleap`) `prmtop`/`inpcrd`. - **Preview Files** to open and **edit** each file (e.g. `min.in`, `submit_job.pbs`) and **Save**; changes are written to the output directory. - **Preview Solvated Protein** / **Download Solvated Protein** to inspect and download the solvated system. For **PLUMED-based runs**, go to the **PLUMED** tab to configure CVs and `plumed.dat`, then use **Generate simulation files** there to produce inputs that include PLUMED. --- ### 7. PLUMED - **Collective Variables**: search and select CVs from the PLUMED v2.9 set; view docs and add/edit lines in `plumed.dat`. - **Custom PLUMED**: edit `plumed.dat` directly. - **Generate simulation files**: create AMBER + PLUMED input files. Generated files can be **previewed, edited, and saved** as in the main **Generate Files** tab. > PLUMED citation: [plumed.org/cite](https://www.plumed.org/cite). --- ## Pipeline Overview ``` Protein Loading (upload/fetch) ↓ Fill Missing Residues (detect β†’ ESMFold β†’ optional trim & minimize) ↓ Structure Preparation (clean, cap, chains, ligands) β†’ optional Docking (Vina, select pose) ↓ Simulation Parameters (FF, water, box, T, P, etc.) ↓ Simulation Steps (min, NVT, NPT, prod) ↓ Generate Files (AMBER .in, tleap, prmtop/inpcrd, PBS) ↓ [Optional] PLUMED (CVs, plumed.dat, generate PLUMED-enabled files) ``` --- ## Output Layout Generated files are written under `output/` (or the path set in the app), for example: - `0_original_input.pdb` β€” raw input - `1_protein_no_hydrogens.pdb` β€” cleaned, capped, chain/ligand selection applied - `2_protein_with_caps.pdb`, `tleap_ready.pdb` β€” intermediates - `4_ligands_corrected_*.pdb` β€” prepared ligands - `protein.prmtop`, `protein.inpcrd` β€” after `tleap` - `min_restrained.in`, `min.in`, `HeatNPT.in`, `mdin_equi.in`, `mdin_prod.in`, `submit_job.pbs` - `output/docking/` β€” receptor, ligands, Vina configs, poses, logs - `plumed.dat` β€” when using PLUMED --- ## Multi-user deployment (e.g. Hugging Face Spaces) When multiple users use the app at the same time (e.g. on Hugging Face Spaces), each user gets an **isolated output folder** so one user’s files are not overwritten by another’s. The app assigns a session ID when the page loads; all API requests send this ID and generated files are stored under `output//`. No configuration is requiredβ€”this works automatically in multi-user and single-user setups. --- ## Dependencies | Category | Tools / libraries | |----------|-------------------| | **Python** | Flask, Flask-CORS, BioPython, NumPy, Pandas, Matplotlib, Seaborn, MDAnalysis, Requests, RDKit, SciPy | | **AMBER** | AMBER Tools (tleap, antechamber, sander, ambpdb, etc.) | | **Docking** | Meeko (`mk_prepare_ligand`, `mk_prepare_receptor`), AutoDock Vina, Open Babel | | **Visualization** | PyMOL (scripted for H removal, structure editing), NGL (in-browser 3D) | | **Structure completion** | ESMFold (via API or local, depending on deployment) | --- ## Project Structure ``` AmberMDFlow/ β”œβ”€β”€ start_web_server.py # Entry point β”œβ”€β”€ html/ β”‚ β”œβ”€β”€ index.html # Main UI β”‚ └── plumed.html # PLUMED-focused view (if used) β”œβ”€β”€ css/ β”‚ β”œβ”€β”€ styles.css β”‚ └── plumed.css β”œβ”€β”€ js/ β”‚ β”œβ”€β”€ script.js # Main frontend logic β”‚ β”œβ”€β”€ plumed.js # PLUMED + docking UI β”‚ └── plumed_cv_docs.js # CV documentation β”œβ”€β”€ python/ β”‚ β”œβ”€β”€ app.py # Flask backend, API, file generation β”‚ β”œβ”€β”€ structure_preparation.py β”‚ β”œβ”€β”€ add_caps.py # ACE/NME capping β”‚ β”œβ”€β”€ Fill_missing_residues.py # ESMFold, trimming, minimization β”‚ β”œβ”€β”€ docking.py # Docking helpers β”‚ └── docking_utils.py β”œβ”€β”€ output/ # Generated files (gitignored in dev) β”œβ”€β”€ Dockerfile └── README.md ``` --- ## Citation If you use AmberMDFlow in your work, please cite: ```bibtex @software{AmberMDFlow, title = {AmberMDFlow: Molecular Dynamics and Docking Pipeline}, author = {Nagar, Hemant}, year = {2025}, url = {https://github.com/nagarh/AmberMDFlow} ``` **Related software to cite when used:** - **AMBER**: [ambermd.org](https://ambermd.org) - **PLUMED**: [plumed.org/cite](https://www.plumed.org/cite) - **ESMFold / ESM Atlas**: [esmatlas.com/about](https://esmatlas.com/about) - **AutoDock Vina**: [autodock-vina/cite](https://autodock-vina.readthedocs.io/en/latest/citations.html) - **Meeko**: [github.com/forlilab/Meeko](https://github.com/forlilab/Meeko) - **MDAnalysis**: [mdanalysis/cite](https://www.mdanalysis.org/pages/citations/) - **NGL Viewer**: [nglviewer/cite](https://doi.org/10.1093/bioinformatics/bty419) - **PyMOL**: [pymol/cite](https://www.pymol.org/support.html) --- ## Acknowledgments - **Mohd Ibrahim** (Technical University of Munich) for the protein capping logic (`add_caps.py`). --- ## License MIT License. See `LICENSE` for details. --- ## Contact - **Author**: Hemant Nagar - **Email**: hn533621@ohio.edu