Latest Articles for Pharmaceutical Research

High-quality data is crucial for successful drug discovery and AI integration.

Discover how machine learning transforms kinase research and drug discovery.

A new benchmark enhances offline multi-objective optimization methods across various fields.

A new model that simplifies drug discovery by generating molecules efficiently.

Saturn improves drug discovery by efficiently generating effective molecules for treatment.

New insights on methaemoglobin levels as an indicator for malaria treatment success.

RGFN offers a new way to generate synthesizable compounds for drug discovery.

PepFlow leverages deep learning to create effective peptide designs for drug development.

FusionDTI improves predictions of drug-target interactions for enhanced drug development.

New methods, including MolSnapper, improve drug design efficiency and effectiveness.

UdanDTI improves predictions of how drugs interact with proteins.

Exploring how machine learning predicts PROTAC effectiveness in drug development.

Research on fluorobenzene reveals insights into controlling fast chemical reactions.

Research shows sea lettuce extracts may help speed up wound healing in animals.

This study proposes a method to identify safe and effective cancer drug combinations.

A study reveals structural differences between fluticasone furoate and propionate.

MV-Mol integrates diverse data sources for improved molecular understanding.

A model explaining how cells distinguish between signals for accurate immune responses.

A new framework improves molecular graph generation techniques for drug discovery.

CBGBench offers a structured approach to enhance drug design and evaluation.

Research shows conditioning methods improve drug-like molecule generation.

A new method enhances predictions of drug-side effects using data-driven approaches.

Research highlights the heart benefits of SGLT2 inhibitors beyond diabetes management.

These models assist scientists in generating complex 3D molecular structures for drug development.

qFit-ligand improves understanding of ligand shapes and protein interactions.

TrustAffinity enhances drug binding predictions and assesses uncertainty effectively.

Insight into Toxoplasma gondii and the challenges of treatment.

A fresh approach enhances drug candidate generation and effectiveness in pharmaceutical research.

Explore how AI transforms drug discovery and alternative therapies.

A new method accelerates the generation of molecular libraries for better medicines.

New method predicts drug binding using protein's 3D structure.

MolTRES enhances chemical prediction by integrating knowledge and innovative training methods.

Synthetic opioids pose a growing threat to public health.

New approaches in drug design prioritize molecule synthesizability for better outcomes.

A look into how the estimand framework improves clinical trial analysis.

New study highlights how protein changes affect drug interactions.

Research reveals potential for new drugs against tough tuberculosis cases.

A new approach to design molecules based on cellular effects.

Rag2Mol enhances drug discovery efficiency by integrating retrieval methods and machine learning.

Examining the link between tau proteins, MDM2, and Alzheimer's disease.