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    <title>PyPI recent updates for rsalor</title>
    <link>https://pypi.org/project/rsalor/</link>
    <description>Recent updates to the Python Package Index for rsalor</description>
    <language>en</language>    <item>
      <title>1.1.9</title>
      <link>https://pypi.org/project/rsalor/1.1.9/</link>
      <description>Combines structural data (Relative Solvent Accessibility, RSA) and evolutionary data (Log Odd Ratio, LOR from MSA) to evaluate missense mutations in proteins.</description>
<author>matsvei.tsishyn@protonmail.com</author>      <pubDate>Tue, 16 Dec 2025 18:06:23 GMT</pubDate>
    </item>    <item>
      <title>1.1.8</title>
      <link>https://pypi.org/project/rsalor/1.1.8/</link>
      <description>Combines structural data (Relative Solvent Accessibility, RSA) and evolutionary data (Log Odd Ratio, LOR from MSA) to evaluate missense mutations in proteins.</description>
<author>matsvei.tsishyn@protonmail.com</author>      <pubDate>Tue, 16 Dec 2025 00:14:14 GMT</pubDate>
    </item>    <item>
      <title>1.1.7</title>
      <link>https://pypi.org/project/rsalor/1.1.7/</link>
      <description>Combines structural data (Relative Solvent Accessibility, RSA) and evolutionary data (Log Odd Ratio, LOR from MSA) to evaluate missense mutations in proteins.</description>
<author>matsvei.tsishyn@protonmail.com</author>      <pubDate>Sun, 30 Nov 2025 02:11:24 GMT</pubDate>
    </item>    <item>
      <title>1.1.6</title>
      <link>https://pypi.org/project/rsalor/1.1.6/</link>
      <description>Combines structural data (Relative Solvent Accessibility, RSA) and evolutionary data (Log Odd Ratio, LOR from MSA) to evaluate missense mutations in proteins.</description>
<author>matsvei.tsishyn@protonmail.com</author>      <pubDate>Thu, 27 Nov 2025 15:59:08 GMT</pubDate>
    </item>    <item>
      <title>1.1.5</title>
      <link>https://pypi.org/project/rsalor/1.1.5/</link>
      <description>Combines structural data (Relative Solvent Accessibility, RSA) and evolutionary data (Log Odd Ratio, LOR from MSA) to evaluate missense mutations in proteins.</description>
<author>matsvei.tsishyn@protonmail.com</author>      <pubDate>Wed, 08 Oct 2025 16:56:34 GMT</pubDate>
    </item>    <item>
      <title>1.1.4</title>
      <link>https://pypi.org/project/rsalor/1.1.4/</link>
      <description>Combines structural data (Relative Solvent Accessibility, RSA) and evolutionary data (Log Odd Ratio, LOR from MSA) to evaluate missense mutations in proteins.</description>
<author>matsvei.tsishyn@protonmail.com</author>      <pubDate>Wed, 08 Oct 2025 16:13:18 GMT</pubDate>
    </item>    <item>
      <title>1.1.3</title>
      <link>https://pypi.org/project/rsalor/1.1.3/</link>
      <description>Combines structural data (Relative Solvent Accessibility, RSA) and evolutionary data (Log Odd Ratio, LOR from MSA) to evaluate missense mutations in proteins.</description>
<author>matsvei.tsishyn@protonmail.com</author>      <pubDate>Tue, 09 Sep 2025 00:31:55 GMT</pubDate>
    </item>    <item>
      <title>1.1.2</title>
      <link>https://pypi.org/project/rsalor/1.1.2/</link>
      <description>Combines structural data (Relative Solvent Accessibility, RSA) and evolutionary data (Log Odd Ratio, LOR from MSA) to evaluate missense mutations in proteins.</description>
<author>matsvei.tsishyn@protonmail.com</author>      <pubDate>Tue, 29 Jul 2025 20:16:21 GMT</pubDate>
    </item>    <item>
      <title>1.1.1</title>
      <link>https://pypi.org/project/rsalor/1.1.1/</link>
      <description>Combines structural data (Relative Solvent Accessibility, RSA) and evolutionary data (Log Odd Ratio, LOR from MSA) to evaluate missense mutations in proteins.</description>
<author>matsvei.tsishyn@protonmail.com</author>      <pubDate>Thu, 27 Mar 2025 17:01:49 GMT</pubDate>
    </item>    <item>
      <title>1.1.0</title>
      <link>https://pypi.org/project/rsalor/1.1.0/</link>
      <description>Combines structural data (Relative Solvent Accessibility, RSA) and evolutionary data (Log Odd Ratio, LOR from MSA) to evaluate missense mutations in proteins.</description>
<author>matsvei.tsishyn@protonmail.com</author>      <pubDate>Tue, 04 Feb 2025 14:32:39 GMT</pubDate>
    </item>    <item>
      <title>1.0.9</title>
      <link>https://pypi.org/project/rsalor/1.0.9/</link>
      <description>Combines structural data (Relative Solvent Accessibility, RSA) and evolutionary data (Log Odd Ratio, LOR from MSA) to evaluate missense mutations in proteins.</description>
<author>matsvei.tsishyn@protonmail.com</author>      <pubDate>Thu, 16 Jan 2025 22:52:14 GMT</pubDate>
    </item>    <item>
      <title>1.0.8</title>
      <link>https://pypi.org/project/rsalor/1.0.8/</link>
      <description>Combines structural data (Relative Solvent Accessibility, RSA) and evolutionary data (Log Odd Ratio, LOR from MSA) to evaluate missense mutations in proteins.</description>
<author>matsvei.tsishyn@protonmail.com</author>      <pubDate>Mon, 13 Jan 2025 17:20:41 GMT</pubDate>
    </item>    <item>
      <title>1.0.7</title>
      <link>https://pypi.org/project/rsalor/1.0.7/</link>
      <description>Combines structural data (Relative Solvent Accessibility, RSA) and evolutionary data (Log Odd Ratio, LOR from MSA) to evaluate missense mutations in proteins.</description>
<author>matsvei.tsishyn@protonmail.com</author>      <pubDate>Wed, 08 Jan 2025 00:38:24 GMT</pubDate>
    </item>    <item>
      <title>1.0.6</title>
      <link>https://pypi.org/project/rsalor/1.0.6/</link>
      <description>Combines structural data (Relative Solvent Accessibility, RSA) and evolutionary data (Log Odd Ratio, LOR from MSA) to evaluate missense mutations in proteins.</description>
<author>matsvei.tsishyn@protonmail.com</author>      <pubDate>Tue, 07 Jan 2025 15:57:09 GMT</pubDate>
    </item>    <item>
      <title>1.0.5</title>
      <link>https://pypi.org/project/rsalor/1.0.5/</link>
      <description>Combines structural data (Relative Solvent Accessibility, RSA) and evolutionary data (Log Odd Ratio, LOR from MSA) to evaluate missense mutations in proteins.</description>
<author>matsvei.tsishyn@protonmail.com</author>      <pubDate>Mon, 06 Jan 2025 15:17:46 GMT</pubDate>
    </item>    <item>
      <title>1.0.4</title>
      <link>https://pypi.org/project/rsalor/1.0.4/</link>
      <description>Combines structural data (Relative Solvent Accessibility, RSA) and evolutionary data (Log Odd Ratio, LOR from MSA) to evaluate missense mutations in proteins.</description>
<author>matsvei.tsishyn@protonmail.com</author>      <pubDate>Mon, 06 Jan 2025 15:04:29 GMT</pubDate>
    </item>    <item>
      <title>1.0.3</title>
      <link>https://pypi.org/project/rsalor/1.0.3/</link>
      <description>Combines structural data (Relative Solvent Accessibility, RSA) and evolutionary data (Log Odd Ratio, LOR from MSA) to evaluate missense mutations in proteins.</description>
<author>matsvei.tsishyn@protonmail.com</author>      <pubDate>Fri, 20 Dec 2024 03:02:08 GMT</pubDate>
    </item>    <item>
      <title>1.0.2</title>
      <link>https://pypi.org/project/rsalor/1.0.2/</link>
      <description>Combines structural data (Relative Solvent Accessibility, RSA) and evolutionary data (Log Odd Ratio, LOR from MSA) to evaluate missense mutations in proteins.</description>
<author>matsvei.tsishyn@protonmail.com</author>      <pubDate>Fri, 20 Dec 2024 02:51:39 GMT</pubDate>
    </item>    <item>
      <title>1.0.1</title>
      <link>https://pypi.org/project/rsalor/1.0.1/</link>
      <description>Combines structural data (Relative Solvent Accessibility, RSA) and evolutionary data (Log Odd Ratio, LOR from MSA) to evaluate missense mutations in proteins.</description>
<author>matsvei.tsishyn@protonmail.com</author>      <pubDate>Fri, 20 Dec 2024 02:37:34 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/rsalor/1.0.0/</link>
      <description>Combine structural (Relative Solvent Accessibility) and Evolutionary (Log Odd Ratio from MSA) data to evaluate missence mutations in proteins.</description>
<author>matsvei.tsishyn@protonmail.com</author>      <pubDate>Fri, 20 Dec 2024 02:24:22 GMT</pubDate>
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