YDS-Ternoplex: Surpassing AlphaFold 3-Type Models for Molecular Glue-Mediated Ternary Complex Prediction DOI Creative Commons
Xing Che

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 23, 2024

Abstract Molecular glues represent an innovative class of drugs that enable previously impossible protein-protein interactions, but their rational design remains challenging, a problem accurate ternary complex modeling can significantly address. Here we present YDS-Ternoplex, novel computational approach enhances AlphaFold 3-type models by incorporating enhanced sampling inductive bias during inference to accurately predict molecular glue-mediated structures. We demonstrate YDS-Ternoplex’s capabilities across five diverse test cases, including both E3 ligase-based systems (VHL:CDO1 and CRBN complexes with mTOR-FRB, NEK7, VAV1-SH3c) non-E3 ligase (FKBP12:mTOR-FRB). The model achieves remarkable accuracy RMSD values as low 1.303 Å compared experimental structures successfully predicts interfaces not in training data. Notably, the FKBP12:mTOR-FRB case, YDS-Ternoplex correctly interface configuration instead defaulting known interactions data, demonstrating strong generalization capabilities. Our results suggest strategic enhancement process through improve prediction accuracy, potentially accelerating development glue therapeutics for undruggable targets.

Language: Английский

Penfluridol inhibits melanoma growth and metastasis through enhancing von Hippel‒Lindau tumor suppressor‐mediated cancerous inhibitor of protein phosphatase 2A (CIP2A) degradation DOI Creative Commons

Fuyan Xu,

Jiao Li, Min Ai

et al.

MedComm, Journal Year: 2024, Volume and Issue: 5(10)

Published: Oct. 1, 2024

Melanoma's high metastatic potential, especially to the brain, poses significant challenges patient survival. The blood‒brain barrier (BBB) is a major obstacle effective treatment of melanoma brain metastases. We screened antipsychotic drugs capable crossing BBB and identified penfluridol (PF) as most active candidate. PF reduced cell viability induced apoptosis. In animal models, effectively inhibited growth metastasis lung brain. Using immunoprecipitation combined with high-resolution mass spectrometry, other techniques such drug affinity responsive target stability, we CIP2A direct binding protein PF. highly expressed in its metastases, linked poor prognosis. can restore Protein Phosphatase 2A activity by promoting degradation, thereby inhibiting several key oncogenic pathways, including AKT c-Myc. Additionally, von Hippel‒Lindau (VHL) endogenous E3 ligase for CIP2A, enhances interaction between VHL ubiquitin‒proteasome degradation metastasis. Overall, this study not only suggests PF's potential treating metastases but also highlights therapeutic strategy melanoma.

Language: Английский

Citations

0

Aptamer and N-Degron Ensemble (AptaGron) as a Target Protein Degradation Strategy DOI
Mohammad Faysal Al Mazid,

Olha Shkel,

E. K. RYU

et al.

ACS Chemical Biology, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 4, 2024

Target protein degradation (TPD) is a promising strategy for catalytic downregulation of target proteins through various cellular proteolytic pathways. Despite numerous reports on novel TPD mechanisms, the discovery target-specific ligands remains major challenge. Unlike small-molecule ligands, aptamers offer significant advantages, owing to their SELEX-based systematic screening method. To fully utilize TPD, we designed an aptamer and N-degron ensemble system (AptaGron) that circumvents need synthetic conjugations between proteolysis-recruiting units. In our AptaGron system, peptide nucleic acid containing sequence complementary was designed. Using this successfully degraded three proteins, tau, nucleolin, eukaryotic initiation factor 4E (eIF4E), which lack specific ligands. Our results highlight potential approach as robust platform targeted degradation.

Language: Английский

Citations

0

The dual role of the TSC complex in cancer DOI

Jeffrey P. Hartung,

Christine Müller, Cornelis F. Calkhoven

et al.

Trends in Molecular Medicine, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 1, 2024

Language: Английский

Citations

0

14-3-3 binding maintains the Parkinson's associated kinase LRRK2 in an inactive state DOI Open Access
Juliana A. Martinez Fiesco, Ning Li, Arthur Adelino de Freitas Cruz

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 22, 2024

Abstract Leucine-rich repeat kinase 2 (LRRK2) is a central player in cellular signaling and significant contributor to Parkinson’s disease (PD) pathogenesis. 14-3-3 proteins are essential regulators of LRRK2, modulating its activity. Here, we present the cryo- electron microscopy structure LRRK2:14-3-3 autoinhibitory complex, showing that dimer stabilizes an autoinhibited LRRK2 monomer by binding key phosphorylation sites COR-A COR-B subdomains within Roc-COR GTPase domain LRRK2. This interaction locks inactive conformation, restricting LRR mobility preventing dimerization oligomer formation. Our mutagenesis studies reveal PD-associated mutations at COR:14-3-3 interface reduce binding, diminishing inhibitory effect on These findings provide structural basis for understanding how likely remains dormant cells, illuminate aspects critical PD biomarkers, suggest therapeutic strategies enhance LRRK2-14-3-3 interactions treat related disorders.

Language: Английский

Citations

0

YDS-Ternoplex: Surpassing AlphaFold 3-Type Models for Molecular Glue-Mediated Ternary Complex Prediction DOI Creative Commons
Xing Che

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 23, 2024

Abstract Molecular glues represent an innovative class of drugs that enable previously impossible protein-protein interactions, but their rational design remains challenging, a problem accurate ternary complex modeling can significantly address. Here we present YDS-Ternoplex, novel computational approach enhances AlphaFold 3-type models by incorporating enhanced sampling inductive bias during inference to accurately predict molecular glue-mediated structures. We demonstrate YDS-Ternoplex’s capabilities across five diverse test cases, including both E3 ligase-based systems (VHL:CDO1 and CRBN complexes with mTOR-FRB, NEK7, VAV1-SH3c) non-E3 ligase (FKBP12:mTOR-FRB). The model achieves remarkable accuracy RMSD values as low 1.303 Å compared experimental structures successfully predicts interfaces not in training data. Notably, the FKBP12:mTOR-FRB case, YDS-Ternoplex correctly interface configuration instead defaulting known interactions data, demonstrating strong generalization capabilities. Our results suggest strategic enhancement process through improve prediction accuracy, potentially accelerating development glue therapeutics for undruggable targets.

Language: Английский

Citations

0