> For the complete documentation index, see [llms.txt](https://docs.hits.ai/hyperlab-release-note-en/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.hits.ai/hyperlab-release-note-en/changelog_en/2026-06-23-relese-note.md).

# 2026-06-23 Relese Note

The update for HyperLab on June 23, 2026, has been completed.

#### HyperLab Version : 2026.06.23

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## :mega: Bio Co-Scientist Lab space Released

<figure><img src="https://709489233-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FUd87mch9xATD0InicbJH%2Fuploads%2F9DF1Km487b6HJqJl3UBo%2Fimage.png?alt=media&amp;token=4f7782a4-252f-4477-9b87-647ed345f05d" alt=""><figcaption></figcaption></figure>

A new Lab space type, **Bio Co-Scientist**, has been added to HyperLab.

HyperLab now supports an expanded bio research workflow beyond small-molecule research, covering **proteins, peptides, antibodies, nanobodies, and TPD** in a single connected environment.

In the Bio Co-Scientist Lab space, you can move from research and design to structure prediction and result interpretation through natural language chat. There is no need to prepare sequences separately or switch between multiple tools. Start your research with a single chat prompt.

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### What can you do?

<figure><img src="https://709489233-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FUd87mch9xATD0InicbJH%2Fuploads%2FJbPErP6JrE9vOpciYynt%2Fimage.png?alt=media&amp;token=af5d24c4-0bdd-4f84-baa9-5f2ef4fc5a57" alt=""><figcaption></figcaption></figure>

#### 1. Structure Prediction

Predict binding structures between biomolecules, including proteins, peptides, and molecular complexes.

#### 2. TPD / Ternary Complex Prediction

Predict ternary complex structures where a PROTAC or molecular glue connects a target protein with an E3 ligase.

#### 3. Protein and Peptide Binder Design

Design new protein or peptide binders based on a specific target and binding site.

#### 4. Antibody and Nanobody Design

Design antibody, nanobody, or scFv candidates that recognize a specific epitope on an antigen.

#### 5. Literature Research

Search and summarize key information from literature, including protein information, structure data, epitopes, and binding pockets related to your research topic.

#### 6. Deep Research

Connect the full research process from hypothesis generation and evidence review to candidate design, structure validation, and next-step strategy.

Prediction and design results can be reviewed directly in the **3D Viewer** and **Library**. You can also examine the detailed execution history and **Confidence Score** to assess the workflow and result reliability.

Start your next research project in the Bio Co-Scientist Lab space today.

For more details, please refer to the [Feature Overview](https://hyperlab.ai/en/features-co-scientist) or [User Guide](https://docs.hits.ai/docs).