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        <identifier>oai:figshare.com:article/34021617</identifier>
        <datestamp>2026-09-29T08:48:47Z</datestamp>
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          <dc:title>Targeting the Alzheimer's-Linked Protease SPPL2a: A Multistage Virtual Screening and Molecular Dynamics Framework for Identifying Selective Inhibitors over Presenilin-1</dc:title>
          <dc:creator>Sagnika Dutta (23916897)</dc:creator>
          <dc:subject>Translational and applied bioinformatics</dc:subject>
          <dc:subject>Bioinformatics and computational biology not elsewhere classified</dc:subject>
          <dc:subject>Alzheimer's</dc:subject>
          <dc:subject>Molecular dynamics simulation</dc:subject>
          <dc:subject>Presenilin-1</dc:subject>
          <dc:subject>Signal peptide-peptidase</dc:subject>
          <dc:subject>Virtual screening</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;Targeting the intramembrane aspartyl protease SPPL2a (Signal peptide-peptidase like 2a) offers a compelling strategy in Alzheimer’s disease to clear pathogenic substrates such as TMEM106B without triggering the fatal Notch toxicities of γ-secretase/Presenilin-1 (PS1) inhibition, however, therapeutic development has been hindered by its active site conservation with PS1. To address this, we conducted a multistage virtual screening campaign across 244,574 molecules from three chemical repositories – ZINC15, Enamine REAL, and Aurigene Discovery, prioritizing candidates through progressive docking, MM-GBSA rescoring, and 500 ns all-atom membrane molecular dynamics in a POPC bilayer, unveiling ZINC Top 1 as a potent lead candidate.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-29T08:48:47Z</dc:date>
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          <dc:identifier>10.6084/m9.figshare.34021617.v1</dc:identifier>
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