Showing results (191-200 of 252) with videos related to
Sort By:
Pageof 26
Genome Informatics. International Conference on Genome Informatics|February 12, 2005
Efficient tree-matching methods for accurate carbohydrate database queriesKiyoko F Aoki, Atsuko Yamaguchi, Yasushi Okuno, et al.Nucleic Acids Research|June 25, 2004
KCaM (KEGG Carbohydrate Matcher): a software tool for analyzing the structures of carbohydrate sugar chainsKiyoko F Aoki, Atsuko Yamaguchi, Nobuhisa Ueda, et al.Plos One|September 1, 2012
FunSAV: predicting the functional effect of single amino acid variants using a two-stage random forest modelMingjun Wang, Xing-Ming Zhao, Kazuhiro Takemoto, et al.International Journal of Molecular Sciences|April 3, 2021
An Inverse QSAR Method Based on a Two-Layered Model and Integer ProgrammingYu Shi, Jianshen Zhu, Naveed Ahmed Azam, et al.IEEE Transactions on Pattern Analysis and Machine Intelligence|September 24, 2024
Unsupervised Dual Deep Hashing With Semantic-Index and Content-Code for Cross-Modal RetrievalBin Zhang, Yue Zhang, Junyu Li, et al.Analytical Chemistry|August 4, 2022
Simultaneous Monitoring of the Adenosine Triphosphate Levels in the Cytoplasm and Nucleus of a Single Cell with a Single Nanowire-Based Fluorescent BiosensorMingliang Mei, Lixuan Mu, Yuan Wang, et al.ACS Applied Materials & Interfaces|February 21, 2013
Facile method for modification of the silicon nanowires and its application in fabrication of pH-sensitive chipsRong Miao, Lixuan Mu, Hongyan Zhang, et al.Nano Letters|May 20, 2014
Silicon nanowire-based fluorescent nanosensor for complexed Cu2+ and its bioapplicationsRong Miao, Lixuan Mu, Hongyan Zhang, et al.Talanta|February 1, 2024
Tracking mitochondrial Cu(I) fluctuations through a ratiometric fluorescent probe in AD model cells: Towards understanding how AβOs induce mitochondrial Cu(I) dyshomeostasisQiaowen Zhao, Liyi Ma, Siwei Chen, et al.Journal of Theoretical Biology|February 7, 2018
PREvaIL, an integrative approach for inferring catalytic residues using sequence, structural, and network features in a machine-learning frameworkJiangning Song, Fuyi Li, Kazuhiro Takemoto, et al.Pageof 26