# Kihara Laboratory

- **Website:** <https://kiharalab.org>
- **Primary alias:** `kiharalab.org`

## Description

LZerD is an innovative web server dedicated to protein-protein docking prediction, utilizing the advanced LZerD algorithm. This platform offers researchers and scientists an invaluable tool for understanding protein interactions, a critical aspect of biochemical research and drug development. Users can easily navigate the LZerD web server to initiate docking predictions, thereby gaining insights into the behavior of proteins when they bind with each other.

The LZerD web server is designed with user-friendliness in mind, enabling researchers at all levels of expertise to access powerful computational resources efficiently. By leveraging the capabilities of the LZerD algorithm, the platform enhances the accuracy and reliability of docking predictions, making it a preferred choice among the scientific community. Additionally, LZerD supports collaboration by sharing findings and results seamlessly through its online platform, further facilitating advancements in research. Visit kiharalab.org or follow their updates on Twitter to learn more about this cutting-edge resource for protein docking analysis.

## Industries

- 🧪 Science and Education
- 🧪 Biology _(under Science and Education)_
- 🧪 Universities and Colleges _(under Science and Education)_

## Links

- [twitter](https://twitter.com/kiharalab)

## Logos & icons

- icon _(primary)_ — PNG — [download](https://cdn.brandfetch.io/idVbsSO8oI/w/400/h/400/theme/dark/icon.png?c=1bxid64Mup7aczewSAYMX&t=1745913547629)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Chathams Blue | #194185 | accent |
| Astronaut | #26466d | dark |
| Golden Fizz | #ffff2a | light |

## Fonts

- Source Sans Pro — asset _(google)_

## Imagery

- banner _(primary)_ — JPEG — [download](https://cdn.brandfetch.io/idVbsSO8oI/w/1500/h/500/idpd3QsNjz.jpeg?c=1bxid64Mup7aczewSAYMX&t=1745913547450)

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