From 1e1bc8ed510d68d7c9c5c2e78827ef257e2efded Mon Sep 17 00:00:00 2001 From: Seth Frazer <105947657+k-wavy@users.noreply.github.com> Date: Fri, 21 Jun 2024 15:51:11 -0700 Subject: [PATCH] Update README.md --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 6cd9cc94a..3602bad40 100644 --- a/README.md +++ b/README.md @@ -10,11 +10,12 @@ --- ## Summary -We introduce the Visual Physiology Opsin Database, a newly compiled database for all heterologously expressed opsin genes with λmax phenotypes (wavelength of maximal absorbance; peak-senstivity). VPOD_1.1 contains 1123 unique opsin genotypes and corresponding λmax phenotypes collected across all animals from 90 separate publications. +We introduce the Visual Physiology Opsin Database, a newly compiled database for all heterologously expressed [opsin genes](https://genomebiology.biomedcentral.com/articles/10.1186/gb-2005-6-3-213) with λmax phenotypes (wavelength of maximal absorbance; peak-senstivity). VPOD_1.1 contains 1123 unique opsin genotypes and corresponding λmax phenotypes collected across all animals from 90 separate publications. We use VPOD data and _[deepBreaks](https://github.com/omicsEye/deepbreaks)_ (an ML tool designed for exploring genotype-phenotype associations) to show regression-based machine learning (ML) models often reliably predict λmax, account for non-additive effects of mutations on function, and identify functionally critical amino acid sites. We provide an approach that lays the groundwork for future robust exploration of molecular-evolutionary patterns governing phenotype, with potential broader applications to any family of genes with quantifiable and comparable phenotypes. + --- # VPOD user guide #