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Kim, Dongsup (김동섭)
교수, Department of Bio and Brain Engineering(바이오및뇌공학과)
Research Area
Bioinformatics, Computational Biology, Computational Protein modeling
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    NO Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date)
    1
    Brain physiome: A concept bridging in vitro 3D brain models and in silico models for predicting drug toxicity in the brain

    Seo, Yoojin; Bang, Seokyoung; Son, Jeongtae; et al, BIOACTIVE MATERIALS, v.13, pp.135 - 148, 2022-07

    2
    Rising of LOXHD1 as a signature causative gene of down-sloping hearing loss in people in their teens and 20s

    Kim, Bong Jik; Jeon, Hyoung Won; Jeon, Woosung; et al, JOURNAL OF MEDICAL GENETICS, v.59, no.5, pp.470 - 480, 2022-05

    3
    An enhanced variant effect predictor based on a deep generative model and the Born-Again Networks

    Kim, Ha Young; Jeon, Woosung; Kim, Dongsupresearcher, SCIENTIFIC REPORTS, v.11, no.1, 2021-09

    4
    Development of a graph convolutional neural network model for efficient prediction of protein-ligand binding affinities

    Son, Jeongtae; Kim, Dongsupresearcher, PLOS ONE, v.16, no.4, 2021-04

    5
    Autonomous molecule generation using reinforcement learning and docking to develop potential novel inhibitors

    Jeon, Woosung; Kim, Dongsupresearcher, SCIENTIFIC REPORTS, v.10, no.1, pp.22104, 2020-12

    6
    Prediction of mutation effects using a deep temporal convolutional network

    Kim, Ha Young; Kim, Dongsupresearcher, BIOINFORMATICS, v.36, no.7, pp.2047 - 2052, 2020-04

    7
    FP2VEC: a new molecular featurizer for learning molecular properties

    Jeon, Woosung; Kim, Dongsupresearcher, BIOINFORMATICS, v.35, no.23, pp.4979 - 4985, 2019-12

    8
    In-Silico Molecular Binding Prediction for Human Drug Targets Using Deep Neural Multi-Task Learning

    Lee, Kyoung Yeul; Kim, Dongsupresearcher, GENES, v.10, no.11, 2019-11

    9
    A compendium of promoter-centered long-range chromatin interactions in the human genome

    Jung, Inkyungresearcher; Schmitt, Anthony; Diao, Yarui; et al, NATURE GENETICS, v.51, no.10, pp.1442 - +, 2019-10

    10
    Global Analysis of Intercellular Homeodomain Protein Transfer

    Lee, Eun-Jung; Kim, Nam-Suk; Park, Jun Woo; et al, CELL REPORTS, v.28, no.3, pp.712 - +, 2019-07

    11
    Optimization of a microarray for fission yeast

    Kim, Dong-Uk; Lee, Minho; Han, Sangjo; et al, Genomics & Informatics, v.17, no.3, pp.e28 - e28, 2019-06

    12
    Prediction of binding property of RNA-binding proteins using multi-sized filters and multi-modal deep convolutional neural network

    Chung, Taesu; Kim, Dongsupresearcher, PLOS ONE, v.14, no.4, 2019-04

    13
    Hypomorphic Mutations in TONSL Cause SPONASTRIME Dysplasia

    Chang, Hae Ryung; Cho, Sung Yoon; Lee, Jae Hoon; et al, AMERICAN JOURNAL OF HUMAN GENETICS, v.104, no.3, pp.439 - 453, 2019-03

    14
    Engineering Clostridial Aldehyde/Alcohol Dehydrogenase for Selective Butanol Production

    Cho, Changhee; Hong, Seungpyo; Moon, Hyeon Gi; et al, MBIO, v.10, no.1, pp.1 - 12, 2019-01

    15
    KRDS: a web server for evaluating drug resistance mutations in kinases by molecular docking

    Lee, Aeri; Hong, Seungpyo; Kim, Dongsupresearcher, JOURNAL OF CHEMINFORMATICS, v.10, 2018-04

    16
    Inflammation induces two types of inflammatory dendritic cells in inflamed lymph nodes

    Min, Ji Youn; Yang, dongchan; Kim, Mirang; et al, EXPERIMENTAL AND MOLECULAR MEDICINE, v.50, 2018-03

    17
    3DIV: A 3D-genome Interaction Viewer and database

    Yang, Dongchan; Jang, Insu; Choi, Jinhyuk; et al, NUCLEIC ACIDS RESEARCH, v.46, no.D1, pp.D52 - D57, 2018-01

    18
    Mutation Analysis of Synthetic DNA Barcodes in a Fission Yeast Gene Deletion Library by Sanger Sequencing

    Lee, Minho; Choi, Shin-Jung; Han, Sangjo; et al, Genomics & Informatics, v.16, no.2, pp.22 - 29, 2018

    19
    Utilizing random Forest QSAR models with optimized parameters for target identification and its application to target-fishing server

    Lee, Kyoung Yeul; Lee, Minho; Kim, Dongsupresearcher, BMC BIOINFORMATICS, v.18, 2017-12

    20
    Deep convolutional neural networks for pan-specific peptide-MHC class I binding prediction

    Han, Youngmahn; Kim, Dongsupresearcher, BMC BIOINFORMATICS, v.18, 2017-12

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