Toya Yoshihiro - Program search result - SCEJ 54th Autumn Meeting (Fukuoka, 2023)

`SCEJ 54th Autumn Meeting (Fukuoka, 2023)`

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Program search result : Toya Yoshihiro : 5 programs

The preprints(abstracts) are now open (Aug. 28). These can be viewed by clicking the Paper IDs. The ID/PW sent to the Registered participants and invited persons are required.

Authors field exact matches “Toya Yoshihiro”; 5 programs are found. (“Poster with Flash” presentations are double-counted.)
The search results are sorted by the start time.

Time	Paper ID	Title / Authors	Keywords	Topic code	Ack. number
Day 1 13:40– 15:20	Chair: Toya Yoshihiro
	H115	[Invited lecture] Prediction and control of bacterial evolution through high-throughput automated experiments using robots (RIKEN) *Shibai Atsushi, Furusawa Chikara	Laboratory automation Laboratory evolution Escherichia coli	ST-21	805
	H117	Deep learning model for predicting all protein-protein interactions from sequence data (Kyutech) *(Reg)Kurata Hiroyuki, Tsukiyama Sho	Cross attention deep learning prediction	ST-21	33
	(H118)	Break
	H119	Development of mechanistic cell cultivation models in monoclonal antibody production using data-driven insights (UTokyo) *(Stu)Okamura K., (Int)Badr S., (Stu)Ichida Y., (Reg·SPCE)Yamada A., (Reg)Sugiyama H.	Biopharmaceuticals Lactate consumption Glutamine	ST-21	728
Day 1 15:20– 15:40	H120	Development of microbial production process by model based metabolic design and directed evolution (Osaka U.) *(Reg)Shimizu Hiroshi, (Reg)Toya Yoshihiro, (RIKEN) Furusawa Chikara, Shibai Atsushi, (AIST) Horinouchi Takaaki, (Chuo U.) Suzuki Hiroaki, (Osaka U.) Tokuyama Kento, (Reg)Niide Teppei	Model based metabolic pathway design Directed evolution Metabolic engineering	ST-21	225
Day 1 15:40– 16:00	H121	Machine learning guided enzyme’s molecular recognition specificity conversion (Osaka U.) *(Reg)Niide Teppei, Sugiki Sou, Mori Seiya, (Reg)Toya Yoshihiro, (Reg)Shimizu Hiroshi	enzyme design machine learning	ST-21	235
Day 3 9:00– 11:00	Chair: Toya Yoshihiro
	T301	New discoveries emerged from machine learning-assisted directed evolution of enzymes (Tohoku U.) *(Reg)Nakazawa Hikaru, (Reg)Ito Tomoyuki, (AIST/U. Tokyo/Kitasato U.) Saito Yutaka, (Tohoku U.) Oikawa Misaki, Sato Takumi, (RevolKa) Kataoka Shiro, (Tohoku U./Riken) (Reg)Umetsu Mitsuo	Directed evolution enzyme Machine learning	SY-71	1027
	T302	Quantitative analysis of liver zonation based on coenzymes (U. Tokyo) *(Stu)Shimodaira Gaku, (Stu)Miyahara Kazuya, (Reg)Sakai Yasuyuki, (Reg)Nishikawa Masaki, (Reg)Choi Hyunjin	liver zonation mathematical model	SY-71	292
	T303	Machine learning-based prediction of RNA modification sites by feature combination (Kyutech) *Md Harun-Or-Roshid, (Reg)Kurata Hiroyuki	RNA feature combination machine learning	SY-71	153
	T304	Effect of surface structure of non-biodegradable plastics on microbial communities (Kanazawa U.) *(Reg)Takiguchi Noboru, (Stu)Kitaichi Yuichiro	DGGE diversity index	SY-71	595
	(T305)	Break
	T306	[Featured presentation] New proposal for the design of microbial media by profiling of media components (Kitami Inst. Tech.) (Reg)Konishi Masaaki	midium profiling design	SY-71	233
Day 3 11:00– 11:20	T307	Optogenetic metabolic flux control and its application (Osaka U.) *(Reg)Toya Yoshihiro, Akagi Hayato, Sakurai Shota, Kawanishi Suwa, Tsukamoto Masashi, (Reg)Shimizu Hiroshi	Optogenetics Metabolism Escherichia coli	SY-71	228

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SCEJ 54th Autumn Meeting (Fukuoka, 2023)

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