Latest Articles for Drug Development

Research suggests montelukast may help manage epilepsy by blocking Cav3.1 channels.

FreeCG enhances molecular modeling by improving efficiency and accuracy.

Allo-Allo offers a novel way to identify allosteric sites based on protein sequences.

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

AFD-X improves protein crystal analysis, enhancing data collection methods.

This article discusses gene expression's role in disease and drug development.

VETE model improves drug response predictions in cancer research.

Exploring the role of knowledge graphs in personalized cancer treatments.

Alpha Flow-Lit improves protein shape generation, enhancing efficiency and accuracy.

Researchers improve protein-DNA binding predictions using advanced methods and machine learning.

HERMES predicts protein mutation effects, aiding in medical research and drug development.

New method improves efficiency in studying protein structures and interactions.

Research reveals improved tools to block TEAD, impacting cancer cell growth.

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

Research reveals difficulties in ALS treatment development through mouse models.

Innovative methods aim to improve cancer treatment predictions.

A new study reveals detailed localization and variability of metabolic proteins in cells.

ProPEC improves predictions of viral protein mutations using deep learning models.

A new framework enhances the discovery of synthetic lethal gene relationships in cancer treatment.

Research reveals key interactions in HIV-1 Gag protein, aiding drug development.

Scientists use machine learning to improve predictions in cancer drug combinations.

Researchers uncover genetic connections impacting COVID-19 and lung disease treatments.

Examining how environmental combinations affect genetic responses in drug resistance.

New methods enhance understanding of protein charge interactions and behavior.

New methods improve sensitivity in identifying chiral molecules through thermal measurements.

Researchers find DLK1 a potential target for treating difficult-to-treat cancers.

New methods using model organisms show promise in developing treatments for rare diseases.

Research uses mathematical models to optimize cancer drug treatment strategies.

New methods allow for effective peptide binders from protein sequences alone.

A look at improving participant diversity in clinical trials through virtual methods.

New combination therapies show promise in improving cancer treatment outcomes.

Chai-1 predicts biomolecule shapes, enhancing drug design and biological research.

New methods improve how scientists predict protein-binding interactions.

Thailand aims for greater self-sufficiency in drug production through improved strategies and support.

CALDERA enhances gene prioritization by addressing bias and improving interpretability.

Research explores how PRC2 influences cancer cell growth and treatment responses.

New methods improve drug response predictions for better cancer treatment options.

A fresh approach reveals how proteins bond in cell membranes.

Research highlights the role of phospholipids in GPCR function using lipid vesicles.

Exploring how cryptic pockets in proteins influence drug development efforts.