【主な研究内容】

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

【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.

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.

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：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：UCB Pharma

連絡先：Jiye.Shi(@)ucb.com

所属：UCB Pharma

連絡先：luizmiguelc(@)googlemail.com