Projects/MASSIV: Alternative splicing-inspired protein development

From Research management course
Revision as of 00:17, 17 February 2024 by Vs (talk | contribs)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to: navigation, search

Problem 74

  • Title: MASSIV: Alternative splicing-inspired protein design
  • Problem: Eukaryotes have evolved a transcription machinery that can augment the protein repertoire without increasing the genome size. It produces several mRNA transcripts from the same gene, by choosing different initiation/termination sites and/or by splicing different exons. This regulatory process is called Alternative Splicing (AS). Although the mechanisms of AS have been well described at the genomic level, the extent to which and how AS modulates protein functions and interactions remains a fundamental open question. Here, we propose to develop a probabilistic model that will learn from the functional AS events observed today in nature to generate new protein functional diversity. The rationale will be that the means AS has produced to generate protein diversity along evolution can be reused and generalized to expand the protein repertoire way beyond what we observe today. The challenge here will be to design an artificial system able to learn the underlying rules of (functional) AS and to generalize to any protein sequence.
  • Data: Almost ready to share, could be accessed on request.
  • References:
    1. Transcripts’ evolutionary history and structural dynamics give mechanistic insights into the functional diversity of the JNK family by Elodie Laine et al, 2020, biorxiv, github
    2. Disentangle homology relationships between exons by LCQB UPMC, 2020, github
    3. Protein physics: a course of lectures with color and stereoscopic illustrations and problems by Finkelstein A.V., Ptitsyn O.B. book in rus
    4. Image www.lcqb.upmc.fr/laine/images/phylo.png
  • Basic solution: for now the problem is not strictly formulated. But there is a GitHub project to start with.
  • Novelty:
  • Authors: Elodie Laine, Sergei Grudinin, and Vadim Strijov