Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Kuo Bin Li"'
Autor:
Tzu-Hao Kuo, Kuo-Bin Li
Publikováno v:
International Journal of Molecular Sciences, Vol 17, Iss 11, p 1788 (2016)
Information about the interface sites of Protein–Protein Interactions (PPIs) is useful for many biological research works. However, despite the advancement of experimental techniques, the identification of PPI sites still remains as a challenging t
Externí odkaz:
https://doaj.org/article/f612cf67ab4e4bef853a99348c0a5682
Autor:
Yu-Ping Wang1 ypwang@ym.edu.tw, Kuo-Bin Li1,2 kbli@ym.edu.tw
Publikováno v:
BMC Genomics. 2009, Vol. 10, Special section p1-13. 13p. 1 Diagram, 1 Chart, 7 Graphs.
Autor:
Riaz, Tariq1 tariq@bii.a-star.edu.sg, Kuo-Bin Li1 kuobin@bii.a-star.edu.sg, Tang, Francis1 francis@bii.a-star.edu.sg, Krishnan, Arun1 arun@bii.a-star.edu.sg
Publikováno v:
In Silico Biology. 2005, Vol. 5 Issue 4, p415-418. 4p. 2 Diagrams.
Publikováno v:
Journal of Theoretical Biology. 252:145-154
Remote homology detection refers to the detection of structure homology in evolutionarily related proteins with low sequence similarity. Supervised learning algorithms such as support vector machine (SVM) are currently the most accurate methods. In m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e7dbe0ecdfe0e32088311a6b35e54fe
https://doi.org/10.1016/j.jtbi.2008.01.028
https://doi.org/10.1016/j.jtbi.2008.01.028
Autor:
Kuo Bin Li, Erwin Tantoso
Publikováno v:
Amino Acids. 35:345-353
Identifying a protein's subcellular localization is an important step to understand its function. However, the involved experimental work is usually laborious, time consuming and costly. Computational prediction hence becomes valuable to reduce the i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::efdfa83797fa899d30a7868b684fd5b0
https://doi.org/10.1007/s00726-007-0616-y
https://doi.org/10.1007/s00726-007-0616-y
Publikováno v:
Journal of Bioinformatics and Computational Biology. :1245-1267
Physicochemcial properties of amino acids are important factors in determining protein structure and function. Most approaches make use of averaged properties over entire domains or even proteins to analyze their structure or function. This level of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b82294d2de9aa14ff07b81c11c2e3220
https://doi.org/10.1142/s0219720006002442
https://doi.org/10.1142/s0219720006002442
Autor:
Yi Wang, Kuo Bin Li
Publikováno v:
Journal of Bioinformatics and Computational Biology. :243-255
We describe an exhaustive and greedy algorithm for improving the accuracy of multiple sequence alignment. A simple progressive alignment approach is employed to provide initial alignments. The initial alignment is then iteratively optimized against a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a2adb267f02b739f2563f4c66179287
https://doi.org/10.1142/s021972000500103x
https://doi.org/10.1142/s021972000500103x
Autor:
George W. Yip, Chee How Lee, Puay Hoon Tan, Kuo Bin Li, Patrick Tan, Jeanie Wu, Boon-Huat Bay, Sathiyamoorthy Selvarajan
Publikováno v:
Modern Pathology. 18:374-381
Ki67 is a nuclear protein that is tightly linked to the cell cycle. It is a marker of cell proliferation and has been used to stratify good and poor prognostic categories in invasive breast cancer. Its correlation with gene expression patterns has no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fb5dd87bcdac10dec224e873fe5f65f
https://doi.org/10.1038/modpathol.3800254
https://doi.org/10.1038/modpathol.3800254
Publikováno v:
Journal of Bioinformatics and Computational Biology. :145-156
Tabu search is a meta-heuristic approach that is proven to be useful in solving combinatorial optimization problems. We implement the adaptive memory features of tabu search to refine a multiple sequence alignment. Adaptive memory helps the search pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc24d64b0b37de5e2dacf7c1485b8d0f
https://doi.org/10.1142/s0219720005000928
https://doi.org/10.1142/s0219720005000928
Publikováno v:
Bioinformatics. 20:2572-2578
Motivation: With many transgenic proteins introduced today, the ability to predict their potential allergenicity has become an important issue. Previous studies were based on either sequence similarity or the protein motifs identified from known alle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d111cd0b0eaed3a8111442c08494f3f4
https://doi.org/10.1093/bioinformatics/bth286
https://doi.org/10.1093/bioinformatics/bth286