This study presents the development and evaluation of a novel GPT-like conditional molecule generator designed to optimize the synthesis of chemical compounds with desirable properties. The model incorporates six pivotal physicochemical properties as conditions:
<h1>Development and Evaluation of a Novel GPT-like Conditional Molecule Generator</h1>
<p>
This study presents the development and evaluation of a novel GPT-like conditional molecule generator designed to optimize the synthesis of chemical compounds with desirable properties. The model incorporates six pivotal physicochemical properties as conditions:
</p>
<ul>
<li>Molecular weight</li>
<li>Number of non-hydrogen atoms</li>
<li>Ring count</li>
