# X-Tour

- **Website:** <https://x-tour.pl>
- **Primary alias:** `x-tour.pl`

## Description

X-Tour is a computational biology and AI company focused on applying machine learning and molecular simulation to protein engineering and molecular design. Its interests span biological sequence and genomics analysis, protein structure prediction, protein-property modeling, and atom-level molecular dynamics. The company explores how models can infer protein behavior from sequence and structure, learn from curated biological data, and remain reliable when evaluated on unseen examples. It also investigates how physics-based simulations can explain molecular movement, structural change, binding interactions, and events that are difficult to capture computationally.

X-Tour describes an end-to-end research workflow encompassing data curation, model development, simulation, validation, and deployment. This includes quality-checking sequences, structures, and measurements; training and benchmarking models; comparing predictions with simulations and laboratory results; and making tools available through APIs or existing research-team workflows. Its approach is research-driven and physics-informed, emphasizing reproducibility, careful evaluation, and practical use. X-Tour brings computational methods and biophysics together to support research in protein engineering and computational biology.

## Industries

- 🧪 Science and Education
- 🧪 Biology _(under Science and Education)_
- ⛑ Health
- ⛑ Biotechnology and Pharmaceuticals _(under Health)_

## Links

- [github](https://github.com/x-tour-org)

## Logos & icons

- logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/iduPipifjQ/w/180/h/180/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1792835501142)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Ebony | #111827 | accent |
| Black | #000000 | dark |
| Anakiwa | #93c5fd | light |

## Fonts

- -apple-system — asset _(system)_

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_Source: <https://brandfetch.com/x-tour.pl>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._