Latest Articles for Drug Development

GearBind improves antibody strength using advanced machine learning techniques.

Researchers uncover mechanisms of resistance in ovarian cancer treatments.

DEMO design aims to enhance dose finding in oncology trials using biological markers.

MiMiC enables complex simulations of molecular interactions at multiple scales for better insights.

Research highlights potential drugs to inhibit Aurora-B and treat cancer.

DIG-Mol enhances predictions of molecular behavior for faster drug development.

Gramicidin's unique structure shows promise for new antimicrobial therapies.

A new model helps assess economic impacts of Alzheimer’s treatments.

PINDER provides vital data for studying protein interactions and improving therapeutic methods.

A new approach to studying drug-protein interactions using thermal stability assays.

A novel Bayesian approach improves sample size estimation in clinical trials.

This article examines the role and importance of mPPases in cellular processes.

Enhancing initial state preparation boosts accuracy in quantum molecular calculations.

Researchers assess aspirin forms' stability using computer modeling and machine learning.

Researchers develop inhibitors to better study UBE2D's role in protein management.

Study reveals unique rRNA gene behavior in malaria parasites.

Examining the impact and techniques of quantum simulation for open quantum systems.

Research reveals potential of G quadruplexes in treating cancer and HIV.

drGAT uses machine learning to predict how cells respond to drugs.

New methods improve the speed and accuracy of drug design.

Investigating apicoplast functions and implications for parasite-related diseases.

How digital twins improve patient treatment and drug development.

Researchers unveil a safer technique to measure cell membrane potential accurately.

Abl1 kinase is vital in managing cellular processes and cancer development.

Research on new compounds shows promise against antibiotic resistance.

Research highlights IL12B as a target for small molecule drug development.

Study reveals Wnt pathways' role in liver fluke growth and potential drug targets.

A new approach enhances the generation of molecules for drug response prediction.

Study reveals connections between immune cell counts and immune-mediated diseases.

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

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

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

Research focuses on improving drug testing with human-based models for better results.

New insights into RNA interactions could lead to better drugs for bacterial infections.

Research reveals how peptides interact with adhesion GPCRs, influencing drug design.

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

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

New research highlights a method to boost chemotherapy effectiveness using TopBP1 condensates.

Exploring how machine learning predicts PROTAC effectiveness in drug development.

Exploring how senescence affects cancer growth and treatments.