J. R. Evans

A cross-scale analysis to understand and quantify effects of photosynthetic enhancement on crop growth and yield

The paper uses a cross-scale model to predict how photosynthetic manipulations affect wheat and sorghum yield across environments, finding modest gains with some strategies and challenges in scaling up.

Deep learning in human neurons predicts mechanistic subtypes of Parkinson's

This study uses deep learning on patient-derived neurons to predict Parkinson's disease subtypes with high accuracy, highlighting mitochondrial and lysosomal features as key predictors.

Permeability profiling of all 13 Arabidopsis PIP aquaporins using a high throughput yeast approach

The paper develops a high-throughput yeast assay to profile permeability of all 13 Arabidopsis PIP aquaporins to various substrates and links results to their biological roles and structural features.

Exploring the Plant Aquaporin Solute Transport Network: Functional characterisation of Nicotiana tabacum PIP, TIP and NIP isoforms.

The paper functionally characterizes nine Nicotiana tabacum aquaporins across three subfamilies to explore their roles in solute transport and localization.

Uncovering candidate genes involved in photosynthetic capacity using unexplored genetic variation in Spring Wheat

The paper identifies candidate genes for photosynthetic capacity in wheat by analyzing genetic variation and hyperspectral data from diverse wheat germplasm.

Effect of leaf temperature on estimating physiological traits of wheat leaves from hyperspectral reflectance

The paper investigates how leaf temperature affects the prediction of physiological traits from hyperspectral reflectance in wheat, finding that temperature does not influence most predicted traits.

Stress reactivity elicits a tissue-specific reduction in telomere length in ageing zebrafish (Danio rerio)

This study shows that stress-reactivity in ageing zebrafish is inversely related to telomere length in heart tissue but not brain tissue.

Machine learning based detection of genetic and drug class variant impact on functionally conserved protein binding dynamics

This paper introduces DROIDS v3.0, a tool combining MD simulations and machine learning to analyze protein dynamics, identifying conserved regions and variant impacts on function.