P.PyMOL Art Gallery
A visual cookbook for molecular graphics / 001—026

Make your
PyMOL beautiful.

A curated gallery of molecular visualization styles. Find a look, copy the PyMOL code, and bring it to your own structure.

01 / Browse styles02 / Copy commands03 / Render in PyMOL
MOLECULAR STUDY / 1HVR
Protein · ligand · structure as image
Curated selection / 01

Start with a point
of view.

A few visual directions to set the tone: publication clarity, binding-site focus, and a little cinematic drama.

One structure / many readings

Same molecule.
Different language.

Switch the visual treatment while keeping the molecular example consistent. The structure stays; the story changes.

BROWSER PREVIEW IS A VISUAL REFERENCE — NOT A PYМOL RENDER.
A simple workflow / no editor, no upload

From inspiration
to your structure.

01 / FIND

Explore

Find a visual treatment that suits the scientific point you want to communicate.

⌕
02 / COPY

Take the recipe

Copy the plain PyMOL commands. Adjust the ligand or residue selection if your structure needs it.

⎘
03 / RENDER

Make it yours

Paste into PyMOL, orient your molecule, and render a figure for your paper, thesis, or talk.

↗
The idea
The molecule is the artwork.
The script is the recipe.

PyMOL Art Gallery is a visual inspiration gallery and styling cookbook. The browser previews are illustrative 3D views; the copied scripts are the actual PyMOL commands. Presets use common selections where practical, and comments point out the parts you may want to adapt.

Open collection / Submit a style

Have a look
worth sharing?

Send a PyMOL visualization recipe to the gallery. Keep it focused: a useful style, a short explanation, and the commands someone else can copy and adapt.

Submissions are reviewed before they become part of the public collection. No file upload is required.
The form is delivered through Web3Forms.
The person behind the gallery

Science, but
make it visible.

PyMOL Art Gallery grew from an interest in the space between pharmacy, structural biology, computational drug discovery, and scientific software — where the way a result is visualized can shape how easily it is understood.

My work spans molecular docking, molecular dynamics, DFT, drug repurposing, and small tools built for pharmacists and researchers.

Amir H. Gholizadeh
PharmD · Computational Drug Discovery · Scientific Visualization
Your next figure starts here

Make structure
look like science.

Find a style. Copy the script. Render your science.

Browse all styles ↗
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