In the first plenary talk, Takayuki Aoki explained the technological challenges of building TSUBAME, currently the 4th fastest computer in the world. He also presented several large-scale fluid dynamics and molecular dynamics simulations making use of TSUBAME’s 2420 TFLOPS and 104 TB of memory.
The second plenary talk showcased work by Kwong-Sak Leung’s group on sequence-based and structure-based identification of transcription factor binding sites and fast protein-ligand docking.
Hwanjo Yu gave the last plenary talk on search and mining of Big Data. Those using PubMed might want to try Yu’s RefMED, a search engine that recommends entries likely to be relevant based on brief feedback provided by the user. Particularly useful in searches returning too many hits to be inspected manually.
The rest of the programme included papers on biomarker discovery in cancer, clustering protein-protein interaction networks, scoring for protein-ligand docking, efficiency in protein-protein docking and subfamily classification of GPCRs, among others.