Designing DNA with Tunable Regulatory Activity Using Discrete Diffusion
Explore DNA Discrete Diffusion (D3) for engineering regulatory DNA sequences with targeted functional activity levels. Learn about its advantages, evaluation metrics, and applications in functional genomics.
Scalable Molecular Simulation of Electrolyte Solutions with Quantum Chemical Accuracy
Explore advanced molecular simulation techniques for electrolyte solutions using neural network potentials and DFT, achieving quantum chemical accuracy and revealing novel insights in solution behavior.
gRNAde: Geometric Deep Learning for 3D RNA Inverse Design
Explore gRNAde, a geometric deep learning pipeline for 3D RNA inverse design. Learn about its architecture, use cases, and advantages over traditional methods in RNA sequence design.
The Future of Chemistry - Self-Driving Laboratories and AI-Driven Discovery
Explore self-driving laboratories revolutionizing scientific discovery through AI and automation. Learn about cutting-edge applications, key elements, and opportunities in chemistry, materials science, and biotechnology.
EquiReact: An Equivariant Neural Network for Chemical Reactions
Explore EquiReact, an equivariant neural network for predicting chemical reaction properties using 3D structures. Learn its advantages in flexibility, extrapolation, and data efficiency.
Stability-Aware Boltzmann Estimator Training of Neural Network Interatomic Potentials
Explore advanced neural network interatomic potentials for molecular dynamics simulations using Stability-Aware Boltzmann Estimator Training to enhance stability and accuracy across various systems and architectures.
Combinatorial Perturbation Prediction Using Causally-Inspired Neural Networks
Explore PDGRAPHER, a novel graph neural network model for phenotype-driven drug discovery. Learn how it predicts perturbagens to reverse disease effects, offering faster and more efficient therapeutic target identification.
HyperPCM: Robust Task-Conditioned Modeling of Drug-Target Interactions
Explore HyperPCM, a robust method for predicting drug-target interactions using hypernetworks. Learn about its state-of-the-art performance on benchmarks and excellence in zero-shot inference for unseen protein targets.
MFBind - A Multi-Fidelity Approach for Evaluating Drugs in Generative Modeling
Explore MFBind, a multi-fidelity approach integrating docking and binding free energy simulations for improved drug discovery generative modeling. Learn its advantages over current methods.
Evaluating Retrosynthesis with Syntheseus and Retro-Fallback
Explore advancements in synthesis planning evaluation through syntheseus and retro-fallback, enhancing molecule discovery with probabilistic uncertainty and new search algorithms.
Removing Biases from Molecular Representations via Information Maximization
Explore InfoCORE, an innovative approach to remove batch effects in drug screening data, enhancing molecular representations for improved property prediction and molecule-phenotype retrieval.
Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms
Explore machine learning-accelerated molecular docking using equivariant scalar fields and fast Fourier transforms for efficient drug discovery and virtual screening.
Delivering Patient-Centric Care in Assessing Mild Traumatic Brain Injury Through Novel Brain Biomarkers
Explore novel brain biomarkers for assessing mild traumatic brain injury (mTBI), improving patient care, reducing unnecessary CT scans, and enhancing emergency department efficiency.
Current Trends in Cancer Immunotherapy with a Focus on Cytokine Therapies
Explore cytokine therapies in cancer immunotherapy, including their role in tumor microenvironments, clinical trials, receptor blockade, and future directions. Gain insights into Sino Biological's research support.
Human-Induced Pluripotent Stem Cell Expansion in a Stirred 3D System - Manufacturing Allogeneic Resources for Cell Therapy
Explore advanced techniques for expanding human-induced pluripotent stem cells in 3D stirred systems, focusing on manufacturing allogeneic resources for cell therapy applications.
Developing a Suite of High-throughput Screens for Engineering Bacterial Protein Secretion
Explore high-throughput screening techniques for engineering bacterial protein secretion systems, focusing on innovative approaches to enhance protein production efficiency and industrial applications.
What Does Quality Mean to You - Analytical Tools for Defining a Complex Botanical
Explore analytical tools for defining quality in complex botanicals, focusing on Δ8-THC in consumer products and its regulatory challenges in the US hemp industry.
An Analytical Quality by Design (AQbD) Approach to Separating Cannabinoid Stereoisomers
Explore advanced HPLC techniques for separating cannabinoid stereoisomers using Analytical Quality by Design. Learn about the latest developments in cannabis analysis and chromatography methods.
Recurrent Neural Networks in Brains and Machines
Explore neural networks as models for brain activity, examining their evolution and potential for bridging multiple cognitive systems. Gain insights into ongoing research and future directions in neuroscience.
Preclinical Evaluation of Marine Natural Products for Neuroscience Drug Discovery
Explore marine natural products' potential in neuroscience drug discovery. Learn about manzamines, their biological activity, and applications in treating neurological disorders from expert Dr. Marsha Pierce.
The Many Diagnostic Potentials of Human Neutrophil Lipocalin HNL
Explore the diagnostic potential of Human Neutrophil Lipocalin (HNL) with expert Per Venge. Learn about its molecular forms, production, and applications in clinical diagnostics.