massif 0.9.0

Fast analysis of massive-scale data produced with MassiveFold

Fast analysis of massive-scale data produced with MassiveFold

Introduction

Massif is a high-throughput analysis suite built to process the large structural ensembles generated by MassiveFold. It helps MassiveFold users review many predictions at once, evaluate interfaces and distances, and identify models that warrant follow-up. Instead of working through raw model folders manually, Massif gathers the metrics needed for filtering, ranking, and selecting structures in one place.

Getting Started

Massif can be both installed as CLI tool and python libary via pip (requires a Rust toolchain).

Get the last massif release from the pypi release with:

python -m pip install massif

Or build an up-to-date version with non-tested but new features with:

python -m pip install .

Python-installed CLI

After pip install, the massif command is available in your environment and uses the same CLI syntax as the Rust binary:

massif --help
massif fit <OUTPUT_DIR> <REFERENCE_PDB> <CHAIN_IDS> <STRUCTURE_DIR> <OUTPUT_CSV>

Python Package

Example usage:

import massif

files = massif.structure_files("path/to/structures")
distances = massif.distances(
    "path/to/structures",
    "path/to/reference.pdb",
    distance_mode="TM-score",
)
contacts = massif.contacts(
    "path/to/structures",
    receptor="A",
    ligand="B",
    contact_cutoff=4.0,
)

Notes:

• massif.distances writes a CSV report in the current working directory.
• Functions print progress output to stdout while running.
• pip install also exposes a massif console script that runs the Rust CLI.

Building from source

Prerequisites

• Rust toolchain >= 1.74 (install via rustup)
• A directory containing the structures you want to process (PDB or mmCIF files); filenames are sorted numerically on the first _-separated index

Build

cargo build --release

Command Help

cargo run -- --help

Usage

Massif expects positional arguments in the following order:

massif <COMMAND> [COMMAND OPTIONS] <STRUCTURE_DIR> <OUTPUT_CSV> [OPTIONS]

• STRUCTURE_DIR: directory containing the input PDB/CIF files
• OUTPUT_CSV: base report name; data is currently written to <OUTPUT_CSV>_alternative.*
• --disable-parallel: force single-threaded execution (Rayon is enabled by default)

The COMMAND argument selects one of the following subcommands:

fit

Align every structure against a reference chain, save aligned coordinates, and compute distances (currently TM-score).

massif fit <OUTPUT_DIR> <REFERENCE_PDB> <CHAIN_IDS> [METRIC] [DISTANCE_CHAINS] <STRUCTURE_DIR> <OUTPUT_CSV>

• OUTPUT_DIR: folder where aligned structures are written
• REFERENCE_PDB: path to the reference structure used for alignment and distance computation
• CHAIN_IDS: concatenated chain identifiers (for example AB or C) that define the fitting anchor in both reference and target structures
• METRIC (optional): TM-score (default) or rmsd-cur
• DISTANCE_CHAINS (optional): chain group used for the post-fit distance computation, including both rmsd-cur and TM-score (for example AB)
• Output columns: TM-score to <reference> plus Models

contacts

Characterise interface contacts and clashes across the ensemble.

massif contacts <OUTPUT_DIR> <STRUCTURE_DIR> <OUTPUT_CSV>

• Extracts direct residue-residue contacts from each model interface and writes one <model>_contact_details.csv file per structure
• Reports the number of atomic clashes per model and prints the automatic exclusion threshold (mean + 2×SD)
• Adds interface score placeholders (future integration of pTM/ipTM based scoring)
• Aligned structures are not emitted; OUTPUT_DIR is reserved for future extensions

iplddt

Compute the mean pLDDT over residues at a user-defined interface.

massif iplddt <AGGREGATE_1> <AGGREGATE_2> <THRESHOLD> <STRUCTURE_DIR> <OUTPUT_CSV>

• AGGREGATE_1 / AGGREGATE_2: chain groups (for example AB vs C)
• THRESHOLD: distance cutoff (Å) between atoms to treat residues as contacting
• Returns an i-plddt column per model; failures are reported as -1

cluster

Align every structure on a reference, reduce a selected chain group to one 3D point, and assign complete-linkage clusters in the reduced space.

massif cluster <REFERENCE_PDB> <ANCHOR_CHAINS> <REDUCTION_CHAINS> <CUTOFF> <STRUCTURE_DIR> <OUTPUT_CSV> [--aligned-output-dir <OUTPUT_DIR>]

• REFERENCE_PDB: path to the reference structure used for alignment
• ANCHOR_CHAINS: concatenated chain identifiers used as the alignment anchor (for example AB or C)
• REDUCTION_CHAINS: concatenated chain identifiers whose aligned atoms are averaged into one point per model
• CUTOFF: complete-linkage cutoff (Å) applied to the reduced 3D points
• --aligned-output-dir: optional directory where the aligned reference and aligned models are written
• Output columns: point_x, point_y, point_z, cluster_id, and Models
• When --aligned-output-dir is not provided, Massif reuses cached reduced coordinates from the existing structured CSV when possible

distances

Measure minimal distances between every pair of chains and optionally retain a subset.

massif distances <FILENAME> <CHAIN_PAIRS> <STRUCTURE_DIR> <OUTPUT_CSV>

• FILENAME: reserved for future use (currently ignored)
• CHAIN_PAIRS: comma-separated list (for example AB,AC,BC); each pair becomes a CSV column
• Records minimal heavy-atom distances in Å

scoring

Placeholder for future scoring pipelines.

massif scoring <STRUCTURE_DIR> <OUTPUT_CSV>

• Currently returns a vector of 1.0 for each model and does not write extra columns

Output Layout

• <OUTPUT_CSV>_alternative.csv: structured report with stable column ordering that merges new results with previous runs
• Aligned structures are written to the provided OUTPUT_DIR for fit and to --aligned-output-dir for cluster