---
title: 'Software Daily Summary: What Happened on November 8, 2026'
headline: Open-source tool predicts drug targets with ChEMBL 37
description: A separate guide describes how researcher Stephen Turner built personal
  and lab websites with Markdown and open-source tools.
url: https://thebench.bio/news/software/2026-11-08
topic: software
date: '2026-11-08'
covers:
- '2026-11-08'
date_published: '2026-11-09T00:01:17Z'
date_modified: '2026-11-09T00:01:17Z'
tags:
- Software
sources: 2
publisher: TheBench.Bio
---

# Software Daily Summary: What Happened on November 8, 2026

**Open-source tool predicts drug targets with ChEMBL 37**

A separate guide describes how researcher Stephen Turner built personal and lab websites with Markdown and open-source tools.

## Today in brief

A new open-source tool applies the Similarity Ensemble Approach to ChEMBL 37, with a Python API and web interface for predicting potential drug targets. [1] In a suvorexant test, its five top-ranked targets were similar to, but not identical to, those from the original implementation. [1]

Stephen Turner described using Markdown, Pandoc, GitHub and Netlify for personal and lab websites, including a 5 KB lab site that loads in about 300 milliseconds. [2]

## Open-source target-prediction tool uses ChEMBL 37

The open-source tool implements the Similarity Ensemble Approach (SEA), which predicts potential drug targets by comparing chemical similarity, using ChEMBL 37. [1] Its Python API and web interface support SMILES, a text format for chemical structures, and the interface displays a two-dimensional structure. [1]

In a suvorexant test, the tool's five highest-ranked targets were similar to those from the original implementation, but the lists did not match exactly. [1] The author suggested that differences in dataset versions and parameters may explain the results. The tool uses ChEMBL 37, while the original site uses ChEMBL 36. [1] The author plans to refine the code and test it with other ligands. [1]

## Turner builds personal and lab websites with lightweight tools

Stephen Turner builds his personal website from Markdown files and a Makefile, then deploys it through a private GitHub repository and Netlify. [2] He said the site is about 100 KB and that its domain costs $8 a year. [2]

Turner said he launched a lab website the previous week, using Make and Pandoc to generate its HTML. [2] The site is 5 KB and loads in about 300 milliseconds, he said. [2] Its publications page uses a BibTeX file and Pandoc Lua filters to format citations and emphasize lab members' names. [2]

## The day in numbers

- **ChEMBL 37**: Dataset version used by the new target-prediction tool [1]
- **5 KB**: Size of Turner's lab website, which loads in about 300 milliseconds [2]

## Sources

1. [Open Similarity Ensemble Approach (Open-SEA) #cheminformatics #rdkit](<https://iwatobipen.wordpress.com/2026/11/08/open-similarity-ensemble-approach-open-sea-cheminformatics-rdkit/>), Is life worth living?, 2026-11-08
2. [You Need a Personal Website](<https://blog.stephenturner.us/p/personal-website>), Paired Ends, 2026-11-08

---

TheBench.Bio wrote this from the reporting cited above, with a language model drafting and editing.

[1]: <https://iwatobipen.wordpress.com/2026/11/08/open-similarity-ensemble-approach-open-sea-cheminformatics-rdkit/>
[2]: <https://blog.stephenturner.us/p/personal-website>
