Vol. 20, Issue 10
2026
ID: GxhaM
Johannes M. Fischer, Nandini R. Patel, Chul-Woo Park
Protein structure prediction remains a pivotal challenge in computational biology, crucial for understanding biological processes and drug discovery. This study aims to advance protein structure prediction accuracy using a novel neural network archit...
Vol. 20, Issue 6
2026
ID: hKPcF
Stefan M. Fischer, Li Mei-Yun, Priya N. Iyer
The accurate prediction of protein structures is a cornerstone of computational biology, pivotal for understanding biological functions and designing therapeutics. Despite advances, current methods face challenges in balancing prediction accuracy and...
Vol. 20, Issue 3
2026
ID: pDn9S
Jasper L. van der Meer, Mei-Ling Huang, Ahmed Al-Hashimi
The rapid advancement in computational biology has opened new avenues for exploring protein-protein interaction (PPI) networks, particularly in cancer research. This study aims to elucidate the complexity of PPIs in oncogenesis and propose potential ...
Vol. 20, Issue 2
2026
ID: 3NXaB
Stefan J. Müller, Mei-Ling Hu, Rajiv N. Patel
Protein structure prediction remains a pivotal challenge in computational biology, with significant implications for drug discovery and molecular biology. This study aims to enhance the accuracy of protein structure prediction by integrating deep lea...
Vol. 20, Issue 1
2026
ID: As87s
Levent Ozdemir, Hiroshi Nakamura, Aditi Raghavan
The rapid advancement in genomic technologies has generated vast amounts of data, necessitating sophisticated computational techniques for analysis. This study aims to enhance predictive modeling in genomic studies through integrative network analysi...