Zobrazeno 1 - 10
of 226
pro vyhledávání: '"Dongsup, Kim"'
Autor:
Sungjin Choi, Dongsup Kim
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract Knowledge of B cell epitopes is critical to vaccine design, diagnostics, and therapeutics. As experimental validation for epitopes is time-consuming and costly, many in silico tools have been developed to computationally predict the B cell e
Externí odkaz:
https://doaj.org/article/84303641b3c143218c864ec0bb74e2e7
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Minimum inhibitory concentration (MIC) denotes the in vitro benchmark indicating the quantity of antibiotic required to inhibit proliferation of specific bacterial strains. Determining MIC values corresponding to the infecting bacterial stra
Externí odkaz:
https://doaj.org/article/185d6733690f4ad3969d547d13d351a8
Autor:
Chaeyoung Moon, Dongsup Kim
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Identifying the binding between the target proteins and molecules is essential in drug discovery. The multi-task learning method has been introduced to facilitate knowledge sharing among tasks when the amount of information for each task is
Externí odkaz:
https://doaj.org/article/25ea9da44c6a4afea2232e50b17e2d01
Autor:
Yoojin Seo, Seokyoung Bang, Jeongtae Son, Dongsup Kim, Yong Jeong, Pilnam Kim, Jihun Yang, Joon-Ho Eom, Nakwon Choi, Hong Nam Kim
Publikováno v:
Bioactive Materials, Vol 13, Iss , Pp 135-148 (2022)
In the last few decades, adverse reactions to pharmaceuticals have been evaluated using 2D in vitro models and animal models. However, with increasing computational power, and as the key drivers of cellular behavior have been identified, in silico mo
Externí odkaz:
https://doaj.org/article/7cb4634453d1471087664df5abc45202
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-7 (2021)
Abstract The development of an accurate and reliable variant effect prediction tool is important for research in human genetic diseases. A large number of predictors have been developed towards this goal, yet many of these predictors suffer from the
Externí odkaz:
https://doaj.org/article/0732861a9c9b4e0a9f75b5da1897d2f6
Autor:
Woosung Jeon, Dongsup Kim
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-11 (2020)
Abstract We developed a computational method named Molecule Optimization by Reinforcement Learning and Docking (MORLD) that automatically generates and optimizes lead compounds by combining reinforcement learning and docking to develop predicted nove
Externí odkaz:
https://doaj.org/article/183053f197494873ae10dd6fed21e202
Autor:
Jeongtae Son, Dongsup Kim
Publikováno v:
PLoS ONE, Vol 16, Iss 4, p e0249404 (2021)
Prediction of protein-ligand interactions is a critical step during the initial phase of drug discovery. We propose a novel deep-learning-based prediction model based on a graph convolutional neural network, named GraphBAR, for protein-ligand binding
Externí odkaz:
https://doaj.org/article/a196a5baca744aeea92e83580439a2c9
Publikováno v:
Genomics & Informatics, Vol 16, Iss 2, Pp 22-29 (2018)
Incorporation of unique barcodes into fission yeast gene deletion collections has enabled the identification of gene functions by growth fitness analysis. For fine tuning, it is important to examine barcode sequences, because mutations arise during s
Externí odkaz:
https://doaj.org/article/1133662a025a43e096af12f887c0c907
Publikováno v:
Journal of Cheminformatics, Vol 10, Iss 1, Pp 1-10 (2018)
Abstract Kinases are major targets of anti-cancer therapies owing to their importance in signaling processes that regulate cell growth and proliferation. However, drug resistance has emerged as a major obstacle to cancer therapy. Resistance to drugs
Externí odkaz:
https://doaj.org/article/dba497186f554e359e2dfd19247c64d6
Publikováno v:
BMC Bioinformatics, Vol 18, Iss S16, Pp 75-86 (2017)
Abstract Background The identification of target molecules is important for understanding the mechanism of “target deconvolution” in phenotypic screening and “polypharmacology” of drugs. Because conventional methods of identifying targets req
Externí odkaz:
https://doaj.org/article/f3b32005528e4f61b9eddbdd238ecd05