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SCEJ 88th Annual Meeting (Tokyo, 2023)

Program search result : 抗体 : 12 programs

The preprints(abstracts) are now open (Mar. 1st). These can be viewed by clicking the Paper IDs. The ID/PW sent to the Registered participants in Period I/II and invited persons are required.

Title (J) field includes “抗体”; 12 programs are found.
The search results are sorted by the start time.

TimePaper
ID
Title / AuthorsKeywordsTopic codeAck.
number
Day 1
14:0014:20
J116Trp-mutation evolution of a nanobody-based fluorescent immunosensor
immunosensor
yeast surface display
directed evolution
7-a371
Day 1
15:0015:20
J119Machine learning assisted molecular evolution for the selectin of antibody mimetics
Antibody mimetics
Phage display
Machine-learning
7-a667
Day 2
9:009:20
I201Modeling cell metabolic shifts in cultivation processes for monoclonal antibody production
(UTokyo) *(Stu)Okamura K., (Int)Badr S., (Reg·SPCE)Yamada A., (Reg)Sugiyama H.
Biopharmaceuticals
Lactate consumption
Hybrid modeling
6-b394
Day 2
9:2010:20
PB205Development of novel monoclonal antibodies acquisition platform against SARS-CoV-2
SARS-CoV-2
antibody
7-a162
Day 2
9:2010:20
PB225Machine learning application for the directed evolution of antibody fragments
Antibody fragments
Phage display
Machine learning
7-a551
Day 2
10:2011:20
PB212The development of epitope mapping against Fab using PURE ribosome display and NGS
Ribosome display
Epitope mapping
7-a301
Day 2
10:2011:20
PB224Effective production of shingle chain variable fragment using recombinant Escherichia coli by fed-batch culture
E.coli
Fed-batch
Plasmid stability
7-a246
Day 2
10:2011:20
PB228Effects of glutamine-containing dipeptides on metabolism and antibody production in CHL-YN cells
Fed batch culture
Mammalian cells
Antibody production
7-a210
Day 2
10:2011:20
PB242Development of Monovalent Antibody-Modified InP Quantum Dots for Single Molecule Labeling of Proteins
InP quantum dots
monovalent
single molecule labeling
7-e299
Day 2
10:2011:20
PB246Machine-learning guided mutagenesis for humanization of camel antibody fragment
VHH
Machine-learning
Evolutionary molecular engineering
7-a409
Day 2
13:2014:20
PC229Simulation and design of integrated upstream and downstream monoclonal antibody production processes
(UTokyo) *(Stu)Shigeyama A., (Int)Badr S., (Reg)Hayashi Y., (Reg)Sugiyama H.
Surrogate model
Bayesian optimization
Machine learning
6-b496
Day 3
9:009:20
I301Determination of antibody protection by hyaluronic acid-based nanogels
Nanogel
Antibody
Hyaluronic acid
7-e14
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SCEJ 88th Annual Meeting (Tokyo, 2023)


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