<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en"><generator uri="https://jekyllrb.com/" version="3.10.0">Jekyll</generator><link href="https://geneticode.org/feed.xml" rel="self" type="application/atom+xml" /><link href="https://geneticode.org/" rel="alternate" type="text/html" hreflang="en" /><updated>2026-10-17T00:42:11+08:00</updated><id>https://geneticode.org/feed.xml</id><title type="html">Geneticode Lab</title><subtitle>Geneticode Lab develops computational methods that connect genetic sequence to biological function, including protein function annotation and mutation effects.</subtitle><author><name>Dong Wang</name><email>csdwang@ncepu.edu.cn</email></author><entry><title type="html">S2DA-GO published in Frontiers in Genetics</title><link href="https://geneticode.org/news/s2da-go-published/" rel="alternate" type="text/html" title="S2DA-GO published in Frontiers in Genetics" /><published>2026-07-08T00:00:00+08:00</published><updated>2026-07-08T00:00:00+08:00</updated><id>https://geneticode.org/news/s2da-go-published</id><content type="html" xml:base="https://geneticode.org/news/s2da-go-published/"><![CDATA[<p>S2DA-GO, a sequence-based model for Gene Ontology protein function prediction, is published in <em>Frontiers in Genetics</em>. Dong Wang is a corresponding author.</p>

<p>The method pairs protein language-model embeddings with semantic priors from GO term text, and uses a gradient-decoupled cross-attention branch so sparsely annotated functions interfere less with the shared sequence representation.</p>

<ul>
  <li>Paper: <a href="https://doi.org/10.3389/fgene.2026.1880976">doi:10.3389/fgene.2026.1880976</a></li>
  <li>Code: <a href="https://github.com/geneticodelab/S2DA-GO">geneticodelab/S2DA-GO</a></li>
</ul>

<p>Preferred citation, as given in the code repository:</p>

<blockquote>
  <p>Wang H, Xiang F, Zhang J, Wu T, Wang D, Wang Q, Lu B and Fu F (2026) S2DA-GO: enhancing protein function prediction via gradient-decoupled cross-attention and semantic priors. Front. Genet. 17:1880976. doi: 10.3389/fgene.2026.1880976</p>
</blockquote>]]></content><author><name>Dong Wang</name><email>csdwang@ncepu.edu.cn</email></author><summary type="html"><![CDATA[S2DA-GO, a sequence-based model for Gene Ontology protein function prediction, is published in Frontiers in Genetics. Dong Wang is a corresponding author.]]></summary></entry></feed>