dragon.bio.purdue.edu

Kihara Bioinformatics Laboratory, Purdue University

Our research interests lie in the area of bioinformatics. We employ computational methods to elucidate intertwined relationships between protein/gene sequences, structure, function, interactions, genome, and pathways. The ultimate goal of our research projects is to obtain new, comprehensive understanding of how structures and functions are coded in molecular sequences and how functions of molecules are orchestrated in a cell. Specifically, we develop and apply novel computational methods for. EM-SURFER ...

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Kihara Bioinformatics Laboratory, Purdue University | dragon.bio.purdue.edu Reviews

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Our research interests lie in the area of bioinformatics. We employ computational methods to elucidate intertwined relationships between protein/gene sequences, structure, function, interactions, genome, and pathways. The ultimate goal of our research projects is to obtain new, comprehensive understanding of how structures and functions are coded in molecular sequences and how functions of molecules are orchestrated in a cell. Specifically, we develop and apply novel computational methods for. EM-SURFER ...

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1 projects

2 people

3 publications

4 software

5 presentations

6 resources

7 area of research

8 dr daisuke kihara

9 principal investigator

10 research highlights

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Kihara Bioinformatics Laboratory, Purdue University | dragon.bio.purdue.edu Reviews

https://dragon.bio.purdue.edu

Our research interests lie in the area of bioinformatics. We employ computational methods to elucidate intertwined relationships between protein/gene sequences, structure, function, interactions, genome, and pathways. The ultimate goal of our research projects is to obtain new, comprehensive understanding of how structures and functions are coded in molecular sequences and how functions of molecules are orchestrated in a cell. Specifically, we develop and apply novel computational methods for. EM-SURFER ...

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dragon.bio.purdue.edu

1

Kihara Bioinformatics Laboratory, Purdue University

http://dragon.bio.purdue.edu/index.php

Our research interests lie in the area of bioinformatics. We employ computational methods to elucidate intertwined relationships between protein/gene sequences, structure, function, interactions, genome, and pathways. The ultimate goal of our research projects is to obtain new, comprehensive understanding of how structures and functions are coded in molecular sequences and how functions of molecules are orchestrated in a cell. Specifically, we develop and apply novel computational methods for. EM-SURFER ...

2

Kihara Bioinformatics Laboratory, Purdue University

http://dragon.bio.purdue.edu/presentations.php

Ishita Khan, Ph.D. thesis defense, Dept. of Computer Science, LWSN building, Room 1142, Purdue University, 1pm, July 25, 2016. Purdue University Center for Cancer Reseach Seminar Series, title TBA, November 17, 2016. The Boltzmann Sequence-Structure Channel" by A. Magner, D. Kihara, and W. Szpankowski, IEEE International Symposium in Information Theory. Barcelona, Spain, July 10-15, 2016. Ensemble-based evaluation for protein structure models" (oral presentation), ISMB. Orlando Florida,July 10-12, 2016.

3

Kihara Bioinformatics Laboratory, Purdue University

http://dragon.bio.purdue.edu/software.php

3D-SURFER 2.0 is a web platform for real-time protein surface comparison of a given protein structure against the entire PDB using 3D Zernike descriptors. It can compare the protein surface of a single chain, domain, or complex against databases of protein chains, domains, complexes, or a combination of all three, in the latest PDB. The databases are weekly updated. Visit the server. Or read the paper. Or read the paper. To submit a sequence or read the paper. PFP is a sequence similarity-based protein f...

4

Kihara Bioinformatics Laboratory, Purdue University

http://dragon.bio.purdue.edu/projects.php

For more detailed information, please refer to related papers published by our group (a number in a parenthesis speficies a reference in the publication page. And also our software. Which is a part of EcoliHub Project. Web-based software for fast protein comparison and surface analysis. Sequence Analysis of Intergenic Regions of Genomes. News Archives are available here. 1 postdoc position is available. Please see here. 2016 Kihara Bioinformatics Laboratory - For technical issues please contact the admin...

5

Kihara Bioinformatics Laboratory, Purdue University

http://dragon.bio.purdue.edu/publications.php

Woong-Hee Shin, Charles Christoffer, Jibo Wang, and Daisuke Kihara. PL-PatchSurfer2: Improved local surface matching-based virtual screening method that is tolerant to target and ligand structure variation. J Chem. Inf. Model, accepted. ( 2016. Qing Wei, Joshua McGraw, Ishita K. Khan, and Daisuke Kihara. Using PFP and ESG protein function prediction webservers. Methods in Mol. Biol., accepted. ( 2016. Meghana Chitale, Ishita K. Khan, and Daisuke Kihara. Scientific Reports, in press. ( 2016. Genome-scale ...

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www-structure.bio.purdue.edu

Faculty - Markey Center for Structural Biology

http://www-structure.bio.purdue.edu/faculty

Department of Biological Sciences. Markey Center for Structural Biology. Faculty and Research Groups. Faculty and Research Groups. Faculty and Research Groups. Purdue University, West Lafayette, IN 47907 USA, (765) 494-4600. If you have trouble accessing this page because of a disability, please contact the Webmaster at sbit-www@bio.purdue.edu.

structure.bio.purdue.edu

Faculty - Markey Center for Structural Biology

http://structure.bio.purdue.edu/faculty

Department of Biological Sciences. Markey Center for Structural Biology. Faculty and Research Groups. Faculty and Research Groups. Faculty and Research Groups. Purdue University, West Lafayette, IN 47907 USA, (765) 494-4600. If you have trouble accessing this page because of a disability, please contact the Webmaster at sbit-www@bio.purdue.edu.

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dragon.bio.purdue.edu

Kihara Bioinformatics Laboratory, Purdue University

Our research interests lie in the area of bioinformatics. We employ computational methods to elucidate intertwined relationships between protein/gene sequences, structure, function, interactions, genome, and pathways. The ultimate goal of our research projects is to obtain new, comprehensive understanding of how structures and functions are coded in molecular sequences and how functions of molecules are orchestrated in a cell. Specifically, we develop and apply novel computational methods for. EM-SURFER ...

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