Choukri Ahmed

@choukri.bsky.social

Ph.D. stud. Plant – Plant — Microbiota interactions Nantes Uni-🌱🇫🇷// M.Sc. Applied Plant Biotechnology Cadi-Ayyad univ. 🇲🇦 // Music snob. 📍Nantes, France.

I was saddened to hear of last month's passing of Tsuneko Okazaki September 22, 2026 (and maddened not to heard of it until now!–though at least her Google page no longer merely refers to her as “Reiji’s wife . . .) Tsuneko, together Reiji, discovered “Okazaki fragments” youtu.be/3F6M-dfsmc0

Okazaki fragments–how Tsuneko & Reiki Okazaki found the solution to the "lagging strand" problem

YouTube video by the bumbling biochemist

youtu.be

A deep learning model captures position-specific effects of plant regulatory sequences and suggests genes under complex regulation (Kevin C Rockenbach , Silvia F Zanini , Alison C Tidy , Richard J Morris , Rachel Wells , Agnieszka A Golicz) doi.org/10.1093/plph... #PlantScience @aspbofficial

A deep learning model captures position-specific effects of plant regulatory sequences and suggests genes under complex regulation

Abstract. Deep neural networks can be trained to predict gene expression directly from genomic sequence, thereby implicitly learning regulatory sequence pa

doi.org

Glad to share our first paper from the first chapter of my Phd about Arabidopsis thaliana interaction with parasitic plant Phelipanche ramosa, which identified glucosinolate as main active pathway but under strigolactone negative regulation : for more 👉 academic.oup.com/plcell/advan...

Arabidopsis thaliana triggers Phelipanche ramosa germination via isothiocyanates under negative strigolactone regulation

Abstract. Parasitic weeds are major agricultural threats through fine-tuned chemical interactions with their hosts. We investigated the germination-stimula

academic.oup.com

BisCEET: A Visual Browser for Biosynthetic Gene Clusters Aiding in the Identification of Natural Product Variants and Distinct Tailoring Enzymes in Journal of Natural Products pubs.acs.org/doi/full/10....

BisCEET: A Visual Browser for Biosynthetic Gene Clusters Aiding in the Identification of Natural Product Variants and Distinct Tailoring Enzymes

Genes involved in the biosynthesis of microbial natural products (NPs) are typically arranged in biosynthetic gene clusters (BGCs). Different congeners of an NP family typically possess distinct chemical features introduced by additional tailoring enzymes encoded in the corresponding BGC variants. However, tools to rapidly visualize the core gene set and distinguish it from variant-specific tailoring genes (VSTGs) in these BGCs are lacking. Here, the software tool BisCEET (Biosynthetic Cluster Environment Examination Tool) was developed, allowing comparison and visualization of the gene composition of related BGCs, thereby streamlining the identification of VSTGs in uncharacterized BGC variants and strains likely to produce novel NP congeners. The use of BisCEET is exemplified by analyzing bacterial BGCs of staurosporine-like indolocarbazoles and xantholipin-like polyketides, which enabled the identification of numerous apparent BGC variants. We anticipate that BisCEET will become a valuable bioinformatic asset, streamlining the prioritization of BGCs and the cultivation of microbial strains for the discovery of distinct NP variants and novel tailoring enzymes.

pubs.acs.org