Sabriyeh Alibai

ORCID: 0009-0007-4866-4147
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About
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Research Areas
  • RNA Research and Splicing
  • RNA modifications and cancer
  • Microbial Metabolic Engineering and Bioproduction
  • Monoclonal and Polyclonal Antibodies Research
  • Transgenic Plants and Applications
  • RNA regulation and disease
  • Bioinformatics and Genomic Networks
  • Trace Elements in Health
  • Protein Structure and Dynamics
  • CRISPR and Genetic Engineering

Brunel University of London
2024

Ontario Genomics
2023

Abstract Accurately modeling and predicting RNA biology has been a long-standing challenge, bearing significant clinical ramifications for variant interpretation the formulation of tailored therapeutics. We describe foundation model biology, “BigRNA”, which was trained on thousands genome-matched datasets to predict tissue-specific expression, splicing, microRNA sites, binding protein specificity from DNA sequence. Unlike approaches that are restricted missense variants, BigRNA can identify...

10.1101/2023.09.20.558508 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2023-09-26

Abstract Motivation Computational methods to detect correlated amino acid positions in proteins have become a valuable tool predict intra- and inter-residue protein contacts, structures, effects of mutation on stability function. While there are many tools webservers compute coevolution scoring matrices, is no central repository alignments matrices for large-scale studies pattern detection leveraging biological structural annotations already available UniProt. Results We present Python...

10.1093/bioinformatics/btae166 article EN cc-by Bioinformatics 2024-03-25

<title>Abstract</title> Accurately modeling and predicting RNA biology has been a long-standing challenge, bearing significant clinical ramifications for variant interpretation the formulation of tailored therapeutics. We describe foundation model biology, “BigRNA”, which was trained on thousands genome-matched datasets to predict tissue-specific expression, splicing, microRNA sites, binding protein specificity from DNA sequence. Unlike approaches that are restricted missense variants,...

10.21203/rs.3.rs-3373630/v1 preprint EN cc-by Research Square (Research Square) 2023-09-25
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