- PDB-7xad: Crystal strucutre of PD-L1 and DBL2_02 designed protein binder -
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基本情報
登録情報
データベース: PDB / ID: 7xad
タイトル
Crystal strucutre of PD-L1 and DBL2_02 designed protein binder
要素
DBL2_02 binder
Programmed cell death 1 ligand 1
キーワード
IMMUNE SYSTEM / PD-L1
機能・相同性
機能・相同性情報
negative regulation of tumor necrosis factor superfamily cytokine production / positive regulation of activated CD8-positive, alpha-beta T cell apoptotic process / negative regulation of CD8-positive, alpha-beta T cell activation / negative regulation of T cell mediated immune response to tumor cell / TRIF-dependent toll-like receptor signaling pathway / negative regulation of CD4-positive, alpha-beta T cell proliferation / STAT3 nuclear events downstream of ALK signaling / negative regulation of interleukin-10 production / negative regulation of activated T cell proliferation / negative regulation of type II interferon production ...negative regulation of tumor necrosis factor superfamily cytokine production / positive regulation of activated CD8-positive, alpha-beta T cell apoptotic process / negative regulation of CD8-positive, alpha-beta T cell activation / negative regulation of T cell mediated immune response to tumor cell / TRIF-dependent toll-like receptor signaling pathway / negative regulation of CD4-positive, alpha-beta T cell proliferation / STAT3 nuclear events downstream of ALK signaling / negative regulation of interleukin-10 production / negative regulation of activated T cell proliferation / negative regulation of type II interferon production / positive regulation of interleukin-10 production / Co-inhibition by PD-1 / positive regulation of T cell proliferation / negative regulation of T cell proliferation / T cell costimulation / response to cytokine / recycling endosome membrane / actin cytoskeleton / cellular response to lipopolysaccharide / early endosome membrane / adaptive immune response / transcription coactivator activity / cell surface receptor signaling pathway / immune response / positive regulation of cell migration / receptor ligand activity / external side of plasma membrane / signal transduction / extracellular exosome / nucleoplasm / plasma membrane 類似検索 - 分子機能
National Natural Science Foundation of China (NSFC)
92169208
中国
引用
ジャーナル: Nature / 年: 2023 タイトル: De novo design of protein interactions with learned surface fingerprints. 著者: Pablo Gainza / Sarah Wehrle / Alexandra Van Hall-Beauvais / Anthony Marchand / Andreas Scheck / Zander Harteveld / Stephen Buckley / Dongchun Ni / Shuguang Tan / Freyr Sverrisson / Casper ...著者: Pablo Gainza / Sarah Wehrle / Alexandra Van Hall-Beauvais / Anthony Marchand / Andreas Scheck / Zander Harteveld / Stephen Buckley / Dongchun Ni / Shuguang Tan / Freyr Sverrisson / Casper Goverde / Priscilla Turelli / Charlène Raclot / Alexandra Teslenko / Martin Pacesa / Stéphane Rosset / Sandrine Georgeon / Jane Marsden / Aaron Petruzzella / Kefang Liu / Zepeng Xu / Yan Chai / Pu Han / George F Gao / Elisa Oricchio / Beat Fierz / Didier Trono / Henning Stahlberg / Michael Bronstein / Bruno E Correia / 要旨: Physical interactions between proteins are essential for most biological processes governing life. However, the molecular determinants of such interactions have been challenging to understand, even ...Physical interactions between proteins are essential for most biological processes governing life. However, the molecular determinants of such interactions have been challenging to understand, even as genomic, proteomic and structural data increase. This knowledge gap has been a major obstacle for the comprehensive understanding of cellular protein-protein interaction networks and for the de novo design of protein binders that are crucial for synthetic biology and translational applications. Here we use a geometric deep-learning framework operating on protein surfaces that generates fingerprints to describe geometric and chemical features that are critical to drive protein-protein interactions. We hypothesized that these fingerprints capture the key aspects of molecular recognition that represent a new paradigm in the computational design of novel protein interactions. As a proof of principle, we computationally designed several de novo protein binders to engage four protein targets: SARS-CoV-2 spike, PD-1, PD-L1 and CTLA-4. Several designs were experimentally optimized, whereas others were generated purely in silico, reaching nanomolar affinity with structural and mutational characterization showing highly accurate predictions. Overall, our surface-centric approach captures the physical and chemical determinants of molecular recognition, enabling an approach for the de novo design of protein interactions and, more broadly, of artificial proteins with function.