Chen Keasar
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Explore the profile of Chen Keasar including associated specialties, affiliations and a list of published articles.
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26
Citations
400
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Recent Articles
1.
Omar S, Keasar C, Ben-Sasson A, Haber E
Biomolecules
. 2023 Mar;
13(3).
PMID: 36979392
The inverse protein folding problem, also known as protein sequence design, seeks to predict an amino acid sequence that folds into a specific structure and performs a specific function. Recent...
2.
Anto N, Muraleedharan A, Nath P, Sun Z, Keasar C, Livneh E, et al.
Front Immunol
. 2023 Mar;
14:1126464.
PMID: 36969236
Protein kinase C-θ (PKCθ) is a member of the novel PKC subfamily known for its selective and predominant expression in T lymphocytes where it regulates essential functions required for T...
3.
Eliasof M, Boesen T, Haber E, Keasar C, Treister E
Front Bioinform
. 2022 Oct;
2:715006.
PMID: 36304270
Recent advancements in machine learning techniques for protein structure prediction motivate better results in its inverse problem-protein design. In this work we introduce a new graph mimetic neural network, MimNet,...
4.
Bitton M, Keasar C
Sci Rep
. 2022 Aug;
12(1):14074.
PMID: 35982086
Computationally generated models of protein structures bridge the gap between the practically negligible price tag of sequencing and the high cost of experimental structure determination. By providing a low-cost (and ...
5.
Jayaram D, Frost S, Argov C, Liju V, Anto N, Muraleedharan A, et al.
Proc Natl Acad Sci U S A
. 2021 Oct;
118(40).
PMID: 34593629
Approximately 40% of human messenger RNAs (mRNAs) contain upstream open reading frames (uORFs) in their 5' untranslated regions. Some of these uORF sequences, thought to attenuate scanning ribosomes or lead...
6.
Sarfati H, Naftaly S, Papo N, Keasar C
Proteins
. 2021 Jul;
90(1):45-57.
PMID: 34293212
Deep mutational scanning provides unprecedented wealth of quantitative data regarding the functional outcome of mutations in proteins. A single experiment may measure properties (eg, structural stability) of numerous protein variants....
7.
Sidi T, Keasar C
Bioinformatics
. 2020 Mar;
36(12):3733-3738.
PMID: 32186698
Motivation: The Protein Data Bank (PDB), the ultimate source for data in structural biology, is inherently imbalanced. To alleviate biases, virtually all structural biology studies use nonredundant (NR) subsets of...
8.
Keasar C, McGuffin L, Wallner B, Chopra G, Adhikari B, Bhattacharya D, et al.
Sci Rep
. 2018 Jul;
8(1):9939.
PMID: 29967418
Every two years groups worldwide participate in the Critical Assessment of Protein Structure Prediction (CASP) experiment to blindly test the strengths and weaknesses of their computational methods. CASP has significantly...
9.
Elofsson A, Joo K, Keasar C, Lee J, Maghrabi A, Manavalan B, et al.
Proteins
. 2017 Oct;
86 Suppl 1:361-373.
PMID: 28975666
Methods to reliably estimate the quality of 3D models of proteins are essential drivers for the wide adoption and serious acceptance of protein structure predictions by life scientists. In this...
10.
Mirzaei S, Sidi T, Keasar C, Crivelli S
IEEE/ACM Trans Comput Biol Bioinform
. 2017 Jan;
16(5):1515-1523.
PMID: 28113636
The function of a protein is determined by its structure, which creates a need for efficient methods of protein structure determination to advance scientific and medical research. Because current experimental...