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WSC
2000
15 years 6 months ago
Predicting enemy force closure with simulation
This paper presents a model and an analysis done to predict enemy force closure. The simulation replaces a pencil and ruler method that has been used by Department of Defense plan...
Mark R. Grabau, Michael D. Payne
ALMOB
2008
127views more  ALMOB 2008»
15 years 4 months ago
HuMiTar: A sequence-based method for prediction of human microRNA targets
Background: MicroRNAs (miRs) are small noncoding RNAs that bind to complementary/partially complementary sites in the 3' untranslated regions of target genes to regulate prot...
Jishou Ruan, Hanzhe Chen, Lukasz A. Kurgan, Ke Che...
135
Voted
BMCBI
2010
104views more  BMCBI 2010»
15 years 4 months ago
Using simple artificial intelligence methods for predicting amyloidogenesis in antibodies
Background: All polypeptide backbones have the potential to form amyloid fibrils, which are associated with a number of degenerative disorders. However, the likelihood that amyloi...
Maria Pamela C. David, Gisela P. Concepcion, Eduar...
BMCBI
2010
119views more  BMCBI 2010»
15 years 4 months ago
Multi-task learning for cross-platform siRNA efficacy prediction: an in-silico study
Background: Gene silencing using exogenous small interfering RNAs (siRNAs) is now a widespread molecular tool for gene functional study and new-drug target identification. The key...
Qi Liu, Qian Xu, Vincent Wenchen Zheng, Hong Xue, ...
168
Voted
BMCBI
2008
112views more  BMCBI 2008»
15 years 4 months ago
Predicting the Interactome of Xanthomonas oryzae pathovar oryzae for target selection and DB service
Background: Protein-protein interactions (PPIs) play key roles in various cellular functions. In addition, some critical inter-species interactions such as host-pathogen interacti...
Jeong-Gu Kim, Daeui Park, Byoung-Chul Kim, Seong-W...