Author

Shengwu Liu

Harvard University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Cancer Biology· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Organism:human· 1 Assay:proteomics· 1 Approach:statistical model· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Andrew G. StepheniD· 1 shared Andrew J. AguirreiD· 1 shared Andrew Lee HongiD· 1 shared Andrew O. GiacomelliiD· 1 shared Arvind RaviiD· 1 shared Belinda WangiD· 1 shared Christopher T. LemkeiD· 1 shared Dana RabaraiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

Andrew G. StephenORCID

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1 paper

Recent·Most cited

Comprehensive structure-function analysis reveals gain- and loss-of-function mechanisms impacting oncogenic KRAS activity

Jason J. Kwon, Julien Dilly, Shengwu Liu, Eejung Kim, Yuemin Bian, Srisathiyanarayanan Dharmaiah, Timothy H. Tran, Kevin S. Kapner, Seav Huong Ly, Xiaoping Yang, Dana Rabara, Timothy J. Waybright, Andrew O. Giacomelli, Andrew Lee Hong, Sean A. Misek, , Andrew J. Aguirre

This study uses deep mutational scanning to analyze KRAS variants, identifying gain- and loss-of-function mechanisms and their impact on oncogenic activity.

bioRxiv · Oct 22, 2024 · PreprintCancer Biology