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Protocols

MICAN specifications

Information


Unique identifier OMICS_06824
Name MICAN
Alternative name MICAN-SQ
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages C
Computer skills Advanced
Stability Stable
Maintained Yes

Versioning


No version available

Maintainer


  • person_outline George Chikenji

Publications for MICAN

MICAN citations

 (12)
call_split

An iterative compound screening contest method for identifying target protein inhibitors using the tyrosine protein kinase Yes

2017
Sci Rep
PMCID: 5607274
PMID: 28931921
DOI: 10.1038/s41598-017-10275-4
call_split See protocol

[…] selected on the basis of the ability to discriminate actives from decoys through docking. The selected 20 proteins and their bound ligands were superimposed by the protein structure alignment program MICAN, to the Yes structure model built based on the closest homology of Yes.G7: A deep neural network was trained based on physicochemical and topological descriptors of active and inactive ligands. […]

library_books

Synthesis, molecular docking and biological evaluation of bis pyrimidine Schiff base derivatives

2017
Chem Cent J
PMCID: 5603458
PMID: 29086867
DOI: 10.1186/s13065-017-0322-0

[…] acterial study, compound q16 displayed appreciable antibacterial activity against E. coli. The antifungal activity results indicated that compounds q1 and q19 (MICca = 0.41 µmol/mL) and compound q16 (MICan = 1.54 µmol/mL) were found to be most effective ones against C. albicans and A. niger, respectively. The most active synthesized bis-pyrimidine Schiff base derivatives q19 and q20 may be taken a […]

library_books

Design, synthesis and antimicrobial evaluation of pyrimidin 2 ol/thiol/amine analogues

2017
Chem Cent J
PMCID: 5466575
DOI: 10.1186/s13065-017-0284-2

[…] gainst E. coli and 10 (MICpa = 0.77 µM/ml) exhibited most potent antibacterial activity against P. aeruginosa. Compound 12 (MICca = 1.73 µM/ml) showed significant activity against C. albicans and 11 (MICan = 1.68 µM/ml) was found to be most potent antifungal agent against A. niger. All synthesized compounds having more antimicrobial potential than the standard cefadroxil (antibacterial) and flucon […]

library_books

Cooperativity and modularity in protein folding

2016
Biophys Physicobiol
PMCID: 5221511
PMID: 28409080
DOI: 10.2142/biophysico.13.0_281

[…] long-range cooperative assembly is realized. Here, the geometrical analysis sheds light on this problem. One of the present authors developed an efficient non-sequential structure alignment software, MICAN [], and demonstrated that the spatial arrangement of SSEs of numerous different proteins can be precisely superposed on each other if we disregard both the chain direction in SSEs and the manner […]

library_books

The Mechanism of Diarrhetic Shellfish Poisoning Toxin Production in Prorocentrum spp.: Physiological and Molecular Perspectives

2016
Toxins
PMCID: 5086633
PMID: 27669302
DOI: 10.3390/toxins8100272

[…] gly associated with PKS []. The PKSI sequence of P. lima has been determined, and the translated amino-acid sequence appears to be 99% similar to that of P. micans []. Moreover, PKS of P. lima and P. mican belongs to the same clade as that of Nostoc punctiforme in a neighbour-joining phylogenetic tree based on amino-acid sequences []. N. punctiforme, a cyanobacterium, is a microsytin producer []. […]

call_split

Importance of consensus region of multiple ligand templates in a virtual screening method

2016
Biophys Physicobiol
PMCID: 5042167
PMID: 27924269
DOI: 10.2142/biophysico.13.0_149
call_split See protocol

[…] late, protein data bank (PDB) is searched for the structures of the target protein and the structures similar to the target protein. This search is performed by using a structure comparison algorithm MICAN [,]. From the structures obtained through this search, structures which contain no ligand are eliminated and those which bind a ligand at the same binding pocket are selected. Thus obtained ith […]

Citations

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MICAN institution(s)
Department of Complex Systems Science, Graduate School of Informatics, Nagoya University, Nagoya, Aichi, Japan; Department of Applied Physics, Graduate School of Engineering, Nagoya University, Nagoya, Japan
MICAN funding source(s)
Supported by Platform for Drug Discovery, Informatics, and Structural Life Science from the Japan Agency for Medical Research and Development, by a Grant-in Aid for Scientific Research (No.16K07315) from the Japan Society for the Promotion of Science, and by a Grant-in-Aid for JSPS Fellows.

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