Explore how computational biology uses RPCA and SVM to predict protein structures, bridging the gap between sequences and functional shapes.
Discover how computational biologists are using in silico methods to design multi-target CDK inhibitors against cancer proteins BCL2, TS, and mTOR.
Discover how the MDMD computational model uses heterogeneous networks and metapath analysis to predict drug-microbe interactions and combat antibiotic resistance.
Discover how computational biology helps identify microRNAs, the tiny genetic regulators that control gene expression in living organisms.
Explore how computational approaches and AI are revolutionizing the design of highly specific and efficient sgRNAs for CRISPR gene editing.
Exploring how bioinformatics portals democratize access to high-performance computing for biological research through grid and cluster environments.
Discover how parallel algorithms are revolutionizing computational biology by enabling scientists to process massive biological datasets and solve complex biological problems.
Explore how computational biology is transforming our understanding of skeletal muscle dysfunction in COPD patients through advanced algorithms and network analysis.
Explore how scientists search for similar protein subnetworks to understand disease mechanisms and develop new treatments.
Explore how efficient computational frameworks are revolutionizing our understanding of biological networks, from genes to proteins and beyond.