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View article: Target sequence-conditioned design of peptide binders using masked language modeling
Target sequence-conditioned design of peptide binders using masked language modeling Open
Tianlai Chen, Zachary Quinn, Madeleine Dumas, Christina Peng, Lauren Hong , et al. · 2025
View article: Programmable protein degraders enable selective knockdown of pathogenic β-catenin subpopulations<i>in vitro</i>and<i>in vivo</i>
Programmable protein degraders enable selective knockdown of pathogenic β-catenin subpopulations<i>in vitro</i>and<i>in vivo</i> Open
Tianzheng Ye, Azmain Alamgir, Cara M. Robertus, Darianna Colina, Connor Monticello , et al. · 2024
Aberrant activation of Wnt signaling results in unregulated accumulation of cytosolic β-catenin, which subsequently enters the nucleus and promotes transcription of genes that contribute to cellular proliferation and malignancy. Here, we s…
View article: SaLT&amp;PepPr is an interface-predicting language model for designing peptide-guided protein degraders
SaLT&PepPr is an interface-predicting language model for designing peptide-guided protein degraders Open
Garyk Brixi, Tianzheng Ye, Lauren Hong, Tian Wang, Connor Monticello , et al. · 2023
Protein-protein interactions (PPIs) are critical for biological processes and predicting the sites of these interactions is useful for both computational and experimental applications. We present a S tructure- a gnostic L anguage T ransfor…
View article: SaLT&amp;PepPr: An Interface-Predicting Language Model for Designing Peptide-Guided Protein Degraders
SaLT&PepPr: An Interface-Predicting Language Model for Designing Peptide-Guided Protein Degraders Open
Garyk Brixi, Tianzheng Ye, Lauren Hong, Tian Wang, Connor Monticello , et al. · 2023
Protein-protein interactions (PPIs) are critical for biological processes and predicting the sites of these interactions is useful for both computational and experimental applications. We present a novel Structure-…
View article: SaLT&amp;PepPr: An Interface-Predicting Language Model for Designing Peptide-Guided Protein Degraders
SaLT&PepPr: An Interface-Predicting Language Model for Designing Peptide-Guided Protein Degraders Open
Garyk Brixi, Tianzheng Ye, Lauren Hong, Tian Wang, Connor Monticello , et al. · 2023
Protein-protein interactions (PPIs) are critical for biological processes and predicting the sites of these interactions is useful for both computational and experimental applications. We present a novel Structure-…
View article: Design of Peptide-Guided Protein Degraders with Structure-Agnostic Language Models
Design of Peptide-Guided Protein Degraders with Structure-Agnostic Language Models Open
Garyk Brixi, Tianzheng Ye, Kalyan Palepu, Lauren Hong, Vivian Yudistyra , et al. · 2023
Here, we integrate fine-tuned protein language models and protein-protein interaction databases to develop a Structure-agnostic Language Transformer & Peptide Prioritization module that efficiently selects peptides from interaction interfa…
View article: Design of Peptide-Guided Protein Degraders with Structure-Agnostic Language Models
Design of Peptide-Guided Protein Degraders with Structure-Agnostic Language Models Open
Garyk Brixi, Tianzheng Ye, Lauren Hong, Tian Wang, Connor Monticello , et al. · 2023
Protein-protein interactions (PPIs) are critical for biological processes and predicting the sites of these interactions is useful for both computational and experimental applications. We present a novel Structure-…
View article: Design of Peptide-Guided Protein Degraders with Structure-Agnostic Language Models
Design of Peptide-Guided Protein Degraders with Structure-Agnostic Language Models Open
Garyk Brixi, Tianzheng Ye, Kalyan Palepu, Xinning Li, Lauren Hong , et al. · 2023
Targeted protein degradation of pathogenic proteins represents a powerful new treatment strategy for multiple disease indications. Unfortunately, a sizable portion of these proteins are considered “undruggable” by standard small molecule-b…
View article: Design of Peptide-Guided Protein Degraders with Structure-Agnostic Language Models
Design of Peptide-Guided Protein Degraders with Structure-Agnostic Language Models Open
Garyk Brixi, Tianzheng Ye, Kalyan Palepu, Lauren Hong, Vivian Yudistyra , et al. · 2023
Here, we integrate fine-tuned protein language models and protein-protein interaction databases to develop a Structure-agnostic Language Transformer &
View article: Design of Peptide-Guided Protein Degraders with Structure-Agnostic Language Models
Design of Peptide-Guided Protein Degraders with Structure-Agnostic Language Models Open
Garyk Brixi, Tianzheng Ye, Kalyan Palepu, Xinning Li, Lauren Hong , et al. · 2023
Targeted protein degradation of pathogenic proteins represents a powerful new treatment strategy for multiple disease indications. Unfortunately, a sizable portion of these proteins are considered “undruggable” by standard small molecule-b…
View article: Design of Peptide-Guided Protein Degraders with Structure-Agnostic Language Models
Design of Peptide-Guided Protein Degraders with Structure-Agnostic Language Models Open
Garyk Brixi, Kalyan Palepu, Suhaas Bhat, Tianzheng Ye, Xinning Li , et al. · 2022
Targeted protein degradation of pathogenic proteins represents a powerful new treatment strategy for multiple disease indications. Unfortunately, a sizable portion of these proteins are considered “undruggable” by standard small molecule-b…
View article: Engineering single pan-specific ubiquibodies for targeted degradation of all forms of endogenous ERK protein kinase
Engineering single pan-specific ubiquibodies for targeted degradation of all forms of endogenous ERK protein kinase Open
Erin A. Stephens, Morgan B. Ludwicki, Bunyarit Meksiriporn, Mingji Li, Tianzheng Ye , et al. · 2021
Ubiquibodies (uAbs) are a customizable proteome editing technology that utilizes E3 ubiquitin ligases genetically fused to synthetic binding proteins to steer otherwise stable proteins of interest (POIs) to the proteasome for degradation. …




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