• 招へい教授 大阪大学大学院薬学研究科
• 招へい教授 大阪大学大学院生命機能研究科

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【主な研究内容】

• 免疫炎症性疾患のバイオマーカー探索（エキソソームを中心に）
• 細胞のストレス応答（老化を中心に）
• システムスバイオロジー（各種オミックスを統合、ネットワーク解析）

【主な研究内容】

• Previous research: Neuropharmacology of histamine in anxiety and sleep deprivation.
• Future plans: Understanding the concepts of Bioinformatics and using the available bioinformatics resources in combination with medical background to contribute in the field of interdisciplinary research.
• Hobbies: Reading
• Favorite proverb: To learn something, you need to try it, and you have to sacrifice for it

【主な研究内容】

• Previous research: Neuropathology (glioblastoma), neuronal cell biology (expression of Peg10). 
• Future plans: What is bioinformatics? I have been grasping it ambiguously. But I heard there are many “-informatics”-including journal name. So currently I am interested in “neuroinformatics” and so on, which was my major. And I want to widen my perspectives through these journals.
• Hobbies: Language
• Favorite expression: See the Good In Others.

【主な研究内容】

1. Network-based functional annotation for target discovery.
2. Biological data integration for enhanced function annotation of genes and genomes.
3. Evolution of protein repertoire and function.

所属：UCB Pharma

連絡先：luizmiguelc(@)googlemail.com

所属：UCB Pharma

連絡先：Jiye.Shi(@)ucb.com

所属：岡山大学

【主な研究内容】

1. タンパク質による分子認識
2. タンパク質の立体構造の理解，予測，デザイン
3. 膜タンパク質の立体構造，ダイナミクス，機能
4. 希少疾患（希少性疾病）およびオーファンドラッグ

所属：ジャワハルラール・ネルー大学

【主な研究内容】

• I am interested in developing statistical, machine learning and physics based algorithms to predict biomolecular interactions from sequence.
• This includes protein-DNA, protein-RNA, protein-protein and other ligand interactions. My current interest is in genome-wide interactions and integrated approaches.
• I am also interested in deciphereing regulatory dynamics of immune system at a molecular level and trying to discover and decipher unknown regulatory events in macrophages.

所属：大阪大学

【主な研究内容】

• I am interested in the development of novel visualization methods and tools, and their use within a biological context. Also, I am focused on learn more about machine and deep learning.

【主な研究内容】

• My current research topic is understanding interaction between gut microbial flora and various data from human using bioinformatics skill.

【主な研究内容】

Development of a pharmacokinetic prediction models that can be practically applied in drug discovery.