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Bioinformatics Lab
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The lab investigates the mechanisms and evolution of life using information from genes and proteins.
AboutAbout the lab
From sequence and structure to the essence of life.
The Bioinformatics Lab focuses on genes and proteins, the information carried by living organisms, and studies their structure, function, and evolution.
The lab aims to understand the essence of life by clarifying the organizing principles of biomolecules, their behavior in networks, biodiversity, and molecular phylogeny.
The lab hopes to connect its findings to advances in medicine, drug discovery, and agriculture.
Students are free to choose their own research topics within related areas.
Key terms
- Molecular phylogeny
- Molecular phylogeny: the closeness and branching relationships among organisms, inferred from differences in gene or protein sequences
- Receptor protein
- Receptor protein: a protein, for example on the cell surface, that receives a specific substance and transmits a signal to the cell
- Algorithm
- Algorithm: a procedure or set of computational rules used to have a computer carry out a process
ResearchResearch themes
The lab aims to elucidate, based on gene and protein information, the organizing principles of the structure and function of biomolecules, their behavior in networks, biodiversity, and molecular phylogeny. Themes include molecular evolution, structure prediction, the evolution of the brain, nervous system, and senses, and the development of databases and algorithms for handling large-scale biological information.
*Illustrative imageReading evolution from sequences
Even genes with the same function differ in sequence between species and between individuals. Because these differences may give rise to unique functions or cause disease, the lab uses computers to investigate which regions evolved, when, and among which organisms.
*Illustrative imageThree-dimensional structure of proteins
The lab represents protein structures virtually on computers, binds them to receptor proteins, and alters their structures. From these simulations, it searches for compounds that could become drugs and investigates how they act.
*Illustrative imageIntegrating information science and biology
Many algorithms have been studied in information science to efficiently process the vast amount of information around us. The lab applies these cutting-edge methods to problems in biology in order to solve problems that could not be solved before.
MembersFaculty
- ProfessorToshinori Endo
- Associate ProfessorNaoki Osada
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Protein ACE2 PDB 1r42” Emw / CC BY-SA 3.0 (cropped)
- Reading evolution from sequences: “Seqserv-circos” Aphades / CC BY-SA 4.0 (cropped)
- Three-dimensional structure of proteins: “Molymods” Sonia / CC BY 3.0 (cropped)
- Integrating information science and biology: “CERIT data center )” Venca24 / CC BY-SA 4.0 (cropped)
- Related lab (Genome Informatics Lab): “DNA Helix CPK” Ude / Public domain (cropped)
- Related lab (Mathematical Informatics Lab): “68448 pinkyfinger Piano G-2 spectrogram” 68448_pinkyfinger_Piano_G.ogg: PinkyFinger derivative work: — Omegatron (talk) / CC BY-SA 3.0 (cropped)
- Related lab (Information and Communication Networks Lab): “Cell Tower Ciudad del Carmen2020” Cvmontuy / CC BY-SA 4.0 (cropped)
- Related lab (Structured Intelligence Lab): “Costa's Minimal Surface” Anders Sandberg / CC BY-SA 3.0 (cropped)
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