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Published February 24, 2026 | Version v1

CycPeptMPDB-4D: Multi-Solvent Conformational Ensembles for Predicting Cyclic Peptide Permeability

  • 1. ROR icon Agency for Science, Technology and Research
  • 2. ROR icon National University of Singapore
  • 3. ROR icon Nanyang Technological University
  • 4. ROR icon Singapore Eye Research Institute

Description

CycPeptMPDB-4D: A Conformational Dynamics Dataset of Cyclic Peptides for Membrane Permeability Prediction

CycPeptMPDB-4D is a large-scale structural dynamics dataset featuring atomistic molecular dynamics (MD) trajectories and 3D conformational ensembles for 5,160 structurally diverse cyclic peptides. It extends CycPeptMPDB by adding MD-derived conformations and physics-based molecular descriptors. This resource is designed to support the development of 3D and 4D (trajectory- or ensemble-based) deep learning models for predicting membrane permeability, bridging the gap between static 2D representations and the physical mechanisms of peptide–membrane interaction.

A key feature of this dataset is the inclusion of simulations in both explicit water and hexane environments. This dual-solvent approach captures the "chameleon-like" behavior of cyclic peptides—their ability to adopt distinct conformational states to maximize stability in aqueous environments and minimize polar exposure in hydrophobic membrane cores.

More details can be found here: (Link to be added upon publication)

Dataset Structure

The data is organized into solvent-specific directories containing structural information and a central metadata file:

CycPeptMPDB-4D/
├── Water/                                       5,160 peptides
│   ├── Trajectories/                      *.pdb (100 frames per peptide)
│   ├── Structures/                        Representative conformations from clustering
│   └── Logs/                                   Clustering analysis logs
├── Hexane/                                   5,160 peptides
│   ├── Trajectories/                     *.pdb (100 frames per peptide)
│   ├── Structures/                        Representative conformations from clustering
│   └── Logs/                                   Clustering analysis logs
├── CHCl3/                                      6 peptides
└── CycPeptMPDB-4D.csv          metadata & molecular descriptors

Data File and Column Descriptions

The main metadata file, CycPeptMPDB-4D.csv, provides experimental permeability values (PAMPA) alongside physics-based descriptors derived from the MD trajectories.

Column Description
CycPeptMPDB_ID Unique identifier from the original CycPeptMPDB, inherited from CycPeptMPDB
Source Reference literature for the peptide data, inherited from CycPeptMPDB
Original_Name_in_Source_Literature Original peptide designation in the source literature, inherited from CycPeptMPDB
Structurally_Unique_ID Identifier grouping structurally identical peptides across sources, inherited from CycPeptMPDB
PAMPA Experimental membrane permeability (log cm/s), mesured by PAMPA
Monomer_Length Total number of amino residues in the peptide
Monomer_Length_in_Main_Chain Number of amino residues in the main-chain cycle (differs from Monomer_Length for lariat-shaped peptides)
Molecule_Shape Structural topology (Circle or Lariat)
Water_avgRMSD_All Average RMSD of all heavy atoms in water simulation (nm)
Water_avgRMSD_BackBone Average RMSD of backbone heavy atoms in water (nm)
Hexane_avgRMSD_All Average RMSD of all heavy atoms in hexane simulation (nm)
Hexane_avgRMSD_BackBone Average RMSD of backbone heavy atoms in hexane (nm)
Desolvation_Free_Energy Computed desolvation free energy via MMPBSA (kcal/mol)
Water_3D_SASA Solvent Accessible Surface Area in water (nm²)
Water_3D_PSA Polar Surface Area in water (nm²)
Water_3D_NPSA Non-Polar Surface Area in water (nm²)
Hexane_3D_SASA Solvent Accessible Surface Area in hexane (nm²)
Hexane_3D_PSA Polar Surface Area in hexane (nm²)
Hexane_3D_NPSA Non-Polar Surface Area in hexane (nm²)

Files

CycPeptMPDB-4D.csv

Files (1.7 GB)

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