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Protein binding

Accurate Sequence-to-Affinity Models for SH2 Domains Predict Signaling Network Connectivity

Researchers at Columbia University have developed a computational strategy that improves the predictive power of SH2 domain specificity profiling, enabling the accurate identification of signaling network connectivity and the impact of missense variants in phosphoproteins on SH2 binding. The study, published in bioRxiv, utilized multi-round affinity selection and deep sequencing

Algorithms

Elasto-Plastic Truss Optimization Under Geometric Nonlinearity Using a Genetic Algorithm

Researchers from Szechenyi Istvan University have developed an advanced optimization methodology for truss structures, addressing both elasto-plastic design cases and purely elastic scenarios. The study, published in Fracture and Structural Integrity, focuses on minimizing structural weight while meeting all structural performance criteria. The researchers used a genetic algorithm to determine

Food microbiology

Gut-Brain Axis Research Highlights Therapeutic Potential of Probiotics, Prebiotics, and Synbiotics

Research from the Institute of Food in Hannover, Germany, has shed light on the complex bidirectional communication system connecting the gastrointestinal tract and the central nervous system through neural, endocrine, immune, and metabolic pathways. The gut-brain axis (GBA) plays a crucial role in regulating cognitive performance, emotional regulation, and resilience

Fatigue (Materials)

Data-Driven Approach to Modeling Creep-Fatigue Behavior Using Neural ODEs

Research conducted by Argonne National Laboratory has presented a data-driven machine learning approach to modeling one-dimensional stress-strain behavior under cyclic loading, utilizing experimental data from the nickel-based Alloy 617. The approach employs uniaxial creep-fatigue test data acquired under various loading histories and compares two distinct neural network-based ODE models. Financial