Latest Articles for Drug Development

New methods enhance understanding of protein interactions for drug development.

ProLLM enhances predictions of protein-protein interactions using advanced language models.

Research highlights potential senolytic drugs that may help combat age-related diseases.

A model integrates knowledge from molecules to improve predictions in science.

New method improves safety and reliability in drug trial dosing.

Research reveals a new model for better drug delivery to the brain.

Combining knowledge graph embedding and case-based reasoning for better treatments.

New methods improve understanding of cannabinoid receptors for drug development.

AI helps create new antibodies targeting PD-1 for better cancer therapies.

A study reveals potential benefits of anti-miR-155 for NSCLC patients.

Challenges and breakthroughs in drug interactions with flexible proteins.

Research reveals critical interactions of BRD proteins in cancer treatment.

TRACE enhances drug safety evaluations by analyzing tissue samples with AI.

Nanobodies show promise in medicine and research, with growing databases for study.

Scientists develop a new platform for better brain organoid growth and monitoring.

Research highlights glucokinase's potential in managing Type 2 diabetes through genetics.

New methods improve the understanding of protein interactions for drug discovery.

VN-EGNN improves drug development by enhancing binding site identification on proteins.

GradNav helps scientists study molecular behavior more efficiently.

New methods improve predictions in drug discovery and materials science.

AI aids in creating drugs to treat brain-related conditions by crossing the blood-brain barrier.

Research aims to improve oral peptide drugs for diabetes management.

GPMelt enhances the analysis of protein melting behaviors for better biological insights.

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.