Latest Articles for Drug Development

Research reveals potential immune-targeting therapies for LAM, improving survival rates.

New findings link Kallistatin levels to cognitive decline in Alzheimer's disease.

Researchers examine protein structures to develop new cancer treatments.

Researchers are improving drug design with innovative techniques for better medication development.

Research reveals new drug combos that could improve treatment for ovarian and breast cancer.

This article discusses challenges and innovations in drug design using advanced technologies.

Membrane proteins are crucial for signaling and drug targeting in various diseases.

Rolipram shows promise in inhibiting cancer spread by targeting key enzymes.

Using AI-generated data to enhance molecule discovery and drug development.

New therapies focus on p300 and CBP to combat advanced prostate cancer.

New methods improve the measurement of chiral drugs for better patient care.

AlphaFold3 enhances our understanding of protein structures and interactions for medical advancements.

A new dataset aims to improve drug discovery predictions.

Bayesian methods are reshaping how clinical trials incorporate past data for better decisions.

Research reveals new compounds targeting CXCR4 with potential for cancer treatment.

Research identifies key factors in treatment resistance for multiple myeloma.

New methods aim to control ion channels using targeted protein degradation for better disease treatment.

New models improve predictions of metal ion locations in proteins.

Innovative strategies are reshaping the costly drug discovery process.

Advancements in protein research improve understanding of shapes and functions.

A study reveals potential new targets for treating Parkinson's disease.

A new model improves the accuracy of simulations in biological systems.

A look into how MEDI5884 may improve cholesterol management in heart disease.

A new method helps to understand how genes control cellular responses effectively.

New models aim to improve accuracy in cancer treatment predictions based on molecular data.

Rac-1 shows promise as a new inhibitor for TDO2, aiding cancer therapies.

Candida albicans adapts to survive immune attacks and harsh conditions.

An overview of how trypsin interacts with BPTI and its variants.

Examining how genetic traits can predict drug side effects.

Research reveals oxybutynin's crystal structure, aiding future bladder medication development.

New approach reveals kinase dynamics and drug design insights.

Combining 2D and 3D models boosts molecular property prediction accuracy.

Research on small molecules disrupting ARNT interactions could lead to new therapies.

Current methods using molecular fingerprints face significant limitations in drug development.

Machine learning methods improve efficiency in identifying new drug candidates from large compound libraries.

New models improve predictions of drug binding affinity using antibody-antigen interactions.

Machine learning is reshaping how antibodies are discovered and designed in medicine.

Researchers uncover SPDZi1's potential in combating aggressive brain tumors.

A new method improves the prediction of molecular shapes using machine learning.

Researchers use machine learning to enhance drug development for anticholinesterase therapies.