Chenghao Zhu
@Chenghao_Zhu
Followers
15
Following
32
Media
1
Statuses
15
Los Angeles, CA
Joined April 2013
Collection highlight from @Cancer_Cell: Mutant KRAS peptide targeted CAR-T cells engineered for cancer therapy https://t.co/b8gtAGEtKk
@PennMedicine
1
37
143
Conventional proteomics searches struggle with many modifications and open searches may be difficult to interpret. We introduce a "detailed" mass offset search in #MSFragger boosting interpretability and localization especially in complex cases like FPOP: https://t.co/JeqUNAjrwO
1
9
59
We recently received notice that the federal government is suspending certain research funding to @UCLA. This is not just a loss for our faculty and researchers. It’s a loss for the people across the country who rely on the breakthroughs and innovations that begin right here.
209
116
395
With boost to NIH budget, Senate panel rejects Trump’s plan to slash agency | Science | AAAS
science.org
Republicans on spending committee push back against proposed reorganization and overhead cuts
0
2
12
Meet the early career scientists planning to leave the United States
nature.com
Nature - Decreased funding, reduced opportunities and growing uncertainty has made life tough for international postdocs living in the US.
0
0
0
Just came across a fantastic article covering our work on moPepGen — truly honored by the thoughtful writing and high praise. Grateful to see our efforts in advancing proteogenomics recognized like this.
forwardpathway.us
moPepGen: A New Computational Tool to Unlock Protein Variants in the Genome - fully visualized data of colleges rankings, basic information, admission, graduation, tuition, majors, students, campus...
0
1
3
The algorithm unlocks the full potential of proteogenomics by overcoming a key challenge in linking genetic mutations to protein-level changes. @dgsomucla
@UCLAHealthJCCC
newsroom.ucla.edu
The algorithm unlocks the full potential of proteogenomics by overcoming a key challenge in linking genetic mutations to protein-level changes.
0
3
7
@dgsomucla @UCLAHealth @UCLAHealthJCCC @uoftmedicine @PMResearch_UHN @VectorInst @TheBoutrosLab @KislingerThomas @Chenghao_Zhu Proteogenomics algorithm improves the detection of hidden genetic mutations #NBTIntheNews via @GENbio
genengnews.com
moPepGen leverages a graph-based approach to improve the detection of hidden protein variants in a computationally efficient manner.
1
4
18
checkout our latest paper in @NatureBiotech. We developed a graph-based algorithm that comprehensively generates non-canonical peptides in linear time.
nature.com
Nature Biotechnology - moPepGen enables the detection of peptides across species, proteases and technologies.
2
12
56
Our paper on moPepGen is finally out in Nature Biotechnology! moPepGen is a fast graph-based tool for systematically predicting and detecting non-canonical peptides, revealing the “dark side” of the proteome. Hoping it opens new doors in proteogenomics. https://t.co/LLm8UnOWKe
0
5
7
T Cell Responses to Individualized Neoantigen Therapy mRNA-4157 (V940) +/- Pembrolizumab (KEYNOTE-603). @CD_AACR. 🚨@OncoAlert 🏥 Phase I, resected #NSCLC & #melanoma 💊No grade 4/5 AEs ✅Neoantigen-specific T cell responses and expansion after combo https://t.co/75DSHd7rj5
0
10
24
Site-Specific Glycoprofiles of HDL-Associated ApoE are Correlated with HDL Functional Capacity and Unaffected by Short-Term Diet #JProteomeRes #MassSpec
pubs.acs.org
Since high-density lipoprotein (HDL) glycoprofiles are associated with HDL functional capacity, we set out to determine whether diet can alter the glycoprofiles of key HDL-associated proteins,...
0
2
2