Machines Join the Hunt for New Schistosomiasis Drugs
A new review argues that machine learning can speed the search for schistosomiasis drugs only if paired with standardized, high-throughput ...
Tag: drug discovery
AI drug discovery tools dominated early-stage pharma research after COVID-19, review finds
A systematic review of 57 studies finds that AI-enabled Pharma 4.0 tools after COVID-19 concentrated on early-stage drug discovery metrics, ...
Soil bacterium from Cassia fistula rhizosphere yields anti-typhoid compound leads
A Pseudomonas aeruginosa strain isolated from Cassia fistula rhizosphere soil produced metabolites that showed antibacterial activity against Salmonella Typhi in ...
Computational screen flags five natural compounds that bind a tuberculosis virulence enzyme
A computational study identified five natural compounds with strong predicted binding to the Rv1509-encoded DNA methyltransferase of Mycobacterium tuberculosis, supported ...
Computer screen sifts animal peptides for breast cancer drug leads
A computational pipeline filtered about 1,500 animal-derived antimicrobial peptides down to three candidates that dock strongly against the breast cancer ...
AI Takes Over Cryo-EM: Deep Neural Networks Now Automate Particle Picking, Map Reconstruction and Atomic Modelling
A comprehensive review details how deep neural networks are automating every stage of cryo-electron microscopy, from particle picking to high-resolution ...
Plant compounds show strong binding to diabetes drug targets in computer simulations
Computer simulations rank two plant-derived molecules as the strongest binders to PPARγ and SGLT2 receptors linked to type 2 diabetes, ...
TDP-43 Overexpression in Human Cells Reproduces Key ALS Pathology and Gene Changes
Scientists built an inducible human cell line that overproduces TDP-43, triggering toxicity, mislocalization, and gene expression changes that overlap with ...
Bioinformatics pipelines race to outsmart multidrug-resistant tuberculosis
A new review maps how machine learning, molecular docking and subtractive genomics are being combined to explain drug resistance in ...
Capsule Networks Push Antimicrobial Peptide Prediction Past 97 Percent Accuracy
A capsule neural network model called AMP-CapsNet achieved 97.29 percent test accuracy in classifying antimicrobial peptides when using dipeptide composition ...
-
Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
-
University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
-
Bee body mass, pathogens and local climate influence heat tolerance
-
Researchers record first-ever images and data of a shark experiencing a boat strike
-
Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
Embark on a thrilling journey of discovery with Scienmag.com—your ultimate source for cutting-edge breakthroughs. Immerse yourself in a world where curiosity knows no limits and tomorrow’s possibilities become today’s reality!