
Explore single-cell perturbation response prediction for novel drugs using an encoder-decoder architecture and transfer learning, enhancing drug discovery efficiency through in-silico hypothesis generation.

Explore fluorescence microscopy techniques for cancer research, covering cell staining, imaging methods, and applications in drug discovery and mechanism studies for 2D and 3D models.

Explore new methods and technologies accelerating sequence-based screening of plasmids for discovery, research, and biotechnology. Learn about ExpressPlex technology and its integration with rolling-circle amplification in OCTOPUS v3.0.

Discover Thermo Fisher's innovative approach to accelerate antibody and protein therapeutics development, from gene optimization to first-in-human trials, through an integrated workflow.

Explore high-throughput DESI-MS for drug discovery, including reaction screening, nano-scale synthesis, and bioanalysis. Learn innovative techniques for faster compound library synthesis and bioactivity assessment.

Explore predictive human liver models for drug development using microphysiological systems. Learn about cell validation and drug-induced liver injury assessment to improve preclinical testing accuracy.

Explore translational research strategies through RENACER example, enhancing impact of scientific discoveries in clinical settings.

Explore molecular glues targeting 14-3-3 protein interactions to modulate MAPK pathway and C-RAF activity in cancer networks. Gain insights into innovative approaches for potential cancer therapies.

Explore how genetic research can address health inequities, focusing on case studies involving racial disparities in medical diagnoses and treatment decisions.

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.

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.

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.

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.

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.

Explore advancements in synthesis planning evaluation through syntheseus and retro-fallback, enhancing molecule discovery with probabilistic uncertainty and new search algorithms.

Explore InfoCORE, an innovative approach to remove batch effects in drug screening data, enhancing molecular representations for improved property prediction and molecule-phenotype retrieval.

Explore machine learning-accelerated molecular docking using equivariant scalar fields and fast Fourier transforms for efficient drug discovery and virtual screening.

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.

Explore SPR microscopy's role in drug discovery, focusing on label-free, real-time measurements of small molecule binding to GPCRs. Learn about pH-dependent studies and limitations of GPR4 antagonists.

Explore the role of proliferation biomarkers in drug discovery, focusing on Thymidine Kinase 1 immunoassay for monitoring cell proliferation in tumors and its potential in therapeutic response assessment.

Explore advancements in multi-specific antibodies, their applications in disease treatment, and challenges in development. Gain insights into preclinical research and future directions of this promising therapy.