Search results
4 maj 2024 · The proposed method predicts distance maps with a mean absolute error ( MAE) of 2.32Å and a root mean squared error ( RMSE) of 3.63Å on novel proteins. It predicts residue–residue distances more accurately than state-of-the-art structure prediction methods (ESMFold) with 3.74‰ inference time of it.
By finding recombination frequencies for many gene pairs, we can make linkage maps that show the order and relative distances of the genes on the chromosome.
19 paź 2020 · Here we describe RNP-MaP, an experimentally concise strategy to locate protein interaction sites on RNA in live cells with nucleotide resolution and to reveal multi-protein interaction networks...
Genetic interactions capture functional relationships between genes using phenotypic readouts, while protein-protein interactions identify physical connections between gene products. These complementary, and largely non-overlapping, networks provide a global view of the functional architecture of a cell, revealing general organizing principles ...
RR Distance Maps generates a color-coded map of the Cα-Cα distances within an individual protein chain or a combined map for two or more related chains. In a combined map, the average (intrachain) distances and/or their standard deviations can be shown.
Here we present PolyFold, an interactive visual simulator for dynamically capturing the distance-based protein folding process through real-time rendering of a distance matrix and its...
Genetic maps provide an outline for the location of genes within a genome, and they estimate the distance between genes and genetic markers on the basis of the recombination frequency during meiosis. Physical maps provide detailed information about the physical distance between the genes.
