A5056692823- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- RNA modifications and cancer
- Enzyme Structure and Function
- Trypanosoma species research and implications
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
- Maternal and Perinatal Health Interventions
- Hematopoietic Stem Cell Transplantation
- Machine Learning in Bioinformatics
- Trauma and Emergency Care Studies
- Glycosylation and Glycoproteins Research
- Acute Myeloid Leukemia Research
- Maternal and fetal healthcare
- Bioinformatics and Genomic Networks
- CRISPR and Genetic Engineering
- Evolution and Genetic Dynamics
- RNA regulation and disease
- Artificial Intelligence in Healthcare
- Heat shock proteins research
- Assisted Reproductive Technology and Twin Pregnancy
- Neonatal Health and Biochemistry
- Shoulder and Clavicle Injuries
- Shoulder Injury and Treatment
- Cancer Genomics and Diagnostics
Bar-Ilan University
2016-2025
Eugene Research Institute
2023
Ferdinand-Braun-Institut
2022
University of Kentucky
2013-2021
Ben-Gurion University of the Negev
2021
Assaf Harofeh Medical Center
2021
Tel Aviv University
2021
Goodman (Japan)
2015-2020
Sheba Medical Center
2015-2020
GTx (United States)
2018
Abstract A new approach is introduced for analyzing and ultimately predicting protein structures, defined at the level of C α coordinates. We analyze hexamers (oligopeptides six amino acid residues) show that their structure tends to concentrate in specific clusters rather than vary continuously. Thus, we can use a limited set ofstandard structural building blocks taken from these as representatives repertoire observed hexamers. demonstrate structures be approximated by concatenating such...
This study was designed to evaluate risk factors of infection after bicondylar tibial plateau fractures. We hypothesized that open fractures and smoking would be associated with deep requiring reoperation.We retrospectively identified all (AO/OTA 41-C) treated operatively over an 8-year period from 2002 2010.Single, high-volume, level 1 trauma center.A total 302 patients aged 18 years older were as undergoing operative fixation during this time period.Open reduction internal...
Purpose Allogeneic hematopoietic stem-cell transplantation (HSCT) is potentially curative for acute leukemia (AL), but carries considerable risk. Machine learning algorithms, which are part of the data mining (DM) approach, may serve transplantation-related mortality risk prediction. Patients and Methods This work a retrospective DM study on cohort 28,236 adult HSCT recipients from AL registry European Group Blood Marrow Transplantation. The primary objective was prediction overall (OM) at...
Alternative mRNA splicing is a major mechanism for gene regulation and transcriptome diversity. Despite the extent of phenomenon, specificity machinery are only partially understood. Adenosine-to-inosine (A-to-I) RNA editing pre-mRNA by ADAR enzymes has been linked to in several cases. Here we used bioinformatics approaches, RNA-seq exon-specific microarray knockdown cells globally examine how its A-to-I activity influence alternative splicing. Although rarely targets canonical acceptor,...
Adenosine deaminase acting on RNA 1 (ADAR1) is the master editor, catalyzing deamination of adenosine to inosine. editing vital for preventing abnormal activation cytosolic nucleic acid sensing pathways by self-double-stranded RNAs. Here we determine, parallel analysis secondary structure sequencing (PARS-seq), global changes in ADAR1 deficient cells. Surprisingly, silencing resulted a lower double-stranded single-stranded ratio, suggesting that A-to-I can stabilize large subset imperfect...
ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTAn analysis of protein folding pathwaysJohn Moult and Ron UngerCite this: Biochemistry 1991, 30, 16, 3816–3824Publication Date (Print):April 23, 1991Publication History Published online1 May 2002Published inissue 23 April 1991https://pubs.acs.org/doi/10.1021/bi00230a003https://doi.org/10.1021/bi00230a003research-articleACS PublicationsRequest reuse permissionsArticle Views142Altmetric-Citations87LEARN ABOUT THESE METRICSArticle Views are the...
It is widely known that terminal residues of proteins (i.e. the N- and C-termini) are predominantly located on surface exposed to solvent. However, there no good explanation as forces driving this phenomenon. The common charged, charged prefer be surface, cannot explain magnitude Here, we survey a large number from PDB in order explore, quantitatively, phenomenon, then use lattice model study mechanisms involved.The location termini was examined for 425 small monomeric (50-200 amino acids)...
The integrative analysis of high-throughput reporter assays, machine learning, and profiles epigenomic chromatin state in a broad array cells tissues has the potential to significantly improve our understanding noncoding regulatory element function its contribution human disease. Here, we report results from CAGI 5 regulation saturation challenge where participants were asked predict impact nucleotide substitution at every base pair within five disease-associated enhancers nine promoters. A...
Can proteins be used as computational devices to address difficult problems? In recent years there has been much interest in biological computing, that is, building a general purpose computer from molecules. Most of the current efforts are based on DNA because its ability self-hybridize. The exquisite selectivity and specificity complex protein-based networks motivated us suggest similar principles can devise systems will able directly implement any logical circuit parallel asynchronous...
Significance Chromosome and gene copy number variations often correlate with the evolution of microbial cancer drug resistance, thus causing important human mortality. How genome instability is harnessed to generate beneficial phenotypes how deleterious dosage effects are compensated remain open questions. The protist pathogen Leishmania exploits regulate expression via changes. Using these parasites as a unique model system, we uncover complex epistatic interactions between compensatory...
Abstract Summary Recently, deep learning models, initially developed in the field of natural language processing (NLP), were applied successfully to analyze protein sequences. A major drawback these models is their size terms number parameters needed be fitted and amount computational resources they require. ‘distilled’ using concept student teacher networks have been widely used NLP. Here, we adapted this problem sequence analysis, by developing DistilProtBert, a distilled version...
Abstract Background Neonatal intensive care unit (NICU) admission among term neonates is a rare event. The aim of this study was to the association NICU on risk long-term childhood mortality. Methods A single-center case–control retrospective between 2005 and 2019, including all in-hospital ≥ 37 weeks’ gestation singleton live-born neonates. center perinatal database linked with birth death certificate registries Israeli Ministry Internal Affairs. primary mortality throughout 15-year...