Research output per year
Research output per year
Personal profile
Research interests
My research focuses on computational structural biology:
- Addicted CASPer
- Deep Learning for protein structure prediction
- Deep Learning for secondary structure prediction
- The MESHI software package
- Machine learning for estimation of model accuracy
- Datamining in the PDB
- Structure based function prediction
- Collaborations with experimental groups
Fingerprint
Dive into the research topics where Chen Keasar is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Spillover of managed bumblebees from Mediterranean orchards during mass flowering causes minor short-term ecological impacts
Nachtom Catalan, N., Keasar, T., Keasar, C. & Nagari, M., 1 Apr 2025, In: Apidologie. 56, 2, 45.Research output: Contribution to journal › Article › peer-review
Open Access -
STARdbi: A pipeline and database for insect monitoring based on automated image analysis
Keasar, T., Yair, M., Gottlieb, D., Cabra-Leykin, L. & Keasar, C., 1 May 2024, In: Ecological Informatics. 80, 102521.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
הגנת הצומח, 'קוים אדומים', ובינה מלאכותית: מה הקשר?
קיסר, ת. & קיסר, ח., 2024, In: יבול שיא. 219, p. 99-101 3 p.Research output: Contribution to journal › Article
Open Access -
Protein Design Using Physics Informed Neural Networks
Omar, S. I., Keasar, C., Ben-Sasson, A. J. & Haber, E., 1 Mar 2023, In: Biomolecules. 13, 3, 457.Research output: Contribution to journal › Article › peer-review
Open Access5 Scopus citations -
The Peptidyl-Prolyl cis-trans isomerase, Pin1, associates with Protein Kinase C θ via a critical Phospho-Thr-Pro motif in the V3 regulatory domain
Anto, N. P., Muraleedharan, A., Nath, P. R., Sun, Z., Keasar, C., Livneh, E., Braiman, A., Altman, A., Kong, K. F. & Isakov, N., 1 Jan 2023, In: Frontiers in Immunology. 14, 1126464.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Estimation of model accuracy by a unique set of features and tree-based regressor
Bitton, M. & Keasar, C., 1 Dec 2022, In: Scientific Reports. 12, 1, 14074.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Mimetic Neural Networks: A Unified Framework for Protein Design and Folding
Eliasof, M., Boesen, T., Haber, E., Keasar, C. & Treister, E., 1 Jan 2022, In: Frontiers in Bioinformatics. 2, 715006.Research output: Contribution to journal › Article › peer-review
Open Access8 Scopus citations -
Predicting mutant outcome by combining deep mutational scanning and machine learning
Sarfati, H., Naftaly, S., Papo, N. & Keasar, C., 1 Jan 2022, In: Proteins: Structure, Function and Bioinformatics. 90, 1, p. 45-57 13 p.Research output: Contribution to journal › Article › peer-review
12 Scopus citations -
High Throughput Data Acquisition and Deep Learning for Insect Ecoinformatics
Gerovichev, A., Sadeh, A., Winter, V., Bar-Massada, A., Keasar, T. & Keasar, C., 21 May 2021, In: Frontiers in Ecology and Evolution. 9, 600931.Research output: Contribution to journal › Article › peer-review
Open Access26 Scopus citations -
Modeling SARS-CoV-2 proteins in the CASP-commons experiment
AlphaFold team & CASP-COVID participants, 1 Dec 2021, In: Proteins: Structure, Function and Bioinformatics. 89, 12, p. 1987-1996 10 p.Research output: Contribution to journal › Article › peer-review
Open Access16 Scopus citations