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14 lis 2024 · A machine that learns this breadth of information across genomes could model the function of DNA, RNA, and proteins as well as their diverse interactions that orchestrate complex biological functions, mediate disease, or create a complete organism.
10 sty 2022 · This study describes the modelling of protein complex structures, using restraints derived from genome-scale genetic interaction data and chemical–genetic interaction data.
1 maj 2006 · Depending on the course length, the student can proceed by determining the protein structure by homology modelling or simply by using the known 3D structure to infer structural similarity and function for his/her protein.
20 godz. temu · As model systems, split GFPs were covalently connected through DNA scaffolds (36–58 bp). Increasing the length or decreasing the rigidity of the DNA scaffold (through removal of the duplex) increases the extent of intramolecular protein binding (up to 7.5-fold) between these GFP fragments. Independent and dynamic control over functional ...
3 dni temu · This enables the model to design functional CRISPR-Cas molecular complexes and transposable elements, marking the first time a language model has been used for protein-RNA and protein-DNA codesign. "The genome is a sequence that encodes the DNA, RNA, and proteins that orchestrate an organism’s function," the researchers write.
26 maj 2021 · Here, we introduce DeepFRI, a Graph Convolutional Network for predicting protein functions by leveraging sequence features extracted from a protein language model and protein structures.
18 paź 2023 · Proteins: Structure, Function, and Bioinformatics. PERSPECTIVE. Open Access. Challenges in bridging the gap between protein structure prediction and functional interpretation. Mihaly Varadi, Maxim Tsenkov, Sameer Velankar. First published: 18 October 2023. https://doi.org/10.1002/prot.26614.
