Mirror Symmetry Drug Design (msdd)
A Parity-Inversion Framework for Generative De Novo Design of Proteolytically Stable Dual-Targeting D-Peptides.
Installation
pip install msdd
Features
- Topology: SVD-based Kabsch structural superposition and $x \to -x$ topological parity inversion.
- Stapling: Helical $i, i+4$ and $i, i+7$ macrocyclization anchor scanner and parabolic olefin bridge modeling.
- Scoring: Mirror Consistency Score (MCS), Mirror Confidence Index (MCI), and interface contact clash evaluation.
- Relaxation: OpenMM-based L-BFGS side-chain minimization under harmonic backbone restraints.
Usage
import msdd
from msdd import kabsch_alignment, invert_coordinates, calculate_mcs, calculate_mci, relax_d_peptide
Metadata
Release files for msdd 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| msdd-0.1.0.tar.gz | 7.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| msdd-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.6 kB
Release files / msdd-0.1.0.tar.gz
| Download URL | msdd-0.1.0.tar.gz |
|---|---|
| Size | 7.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / msdd-0.1.0-py3-none-any.whl
| Download URL | msdd-0.1.0-py3-none-any.whl |
|---|---|
| Size | 7.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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twine/6.2.0 CPython/3.14.3
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