文献库，生知库 | 链接生命科学的每一步

BIDpred: unraveling B cell Immunodominance hierarchical pattern using statistical feature discovery and deep learning prediction

BIDpred：利用统计特征发现和深度学习预测揭示B细胞免疫优势的层级模式

期刊:Frontiers in Immunology

影响因子:5.9

doi:10.3389/fimmu.2025.1646946

Choi, Sungjin; Kim, Dongsup

Integrating genomic and molecular data to predict antimicrobial minimum inhibitory concentration in Klebsiella pneumoniae

整合基因组和分子数据预测肺炎克雷伯菌的抗菌药物最低抑菌浓度

期刊:Scientific Reports

影响因子:3.9

doi:10.1038/s41598-024-75973-2

Ryu, Byeonggyu; Jeon, Woosung; Kim, Dongsup

肺炎

发表日期：2024

文献求助收藏

AbFlex: designing antibody complementarity determining regions with flexible CDR definition

AbFlex：设计具有灵活 CDR 定义的抗体互补决定区

期刊:

影响因子:

doi:10.1093/bioinformatics/btae122

Jeon, Woosung; Kim, Dongsup

发表日期：2024

文献求助收藏

TSpred: a robust prediction framework for TCR-epitope interactions using paired chain TCR sequence data

TSpred：一个利用成对链TCR序列数据预测TCR-表位相互作用的稳健框架

期刊:

影响因子:

doi:10.1093/bioinformatics/btae472

Kim, Ha Young; Kim, Sungsik; Park, Woong-Yang; Kim, Dongsup

发表日期：2024

文献求助收藏

G-RANK: an equivariant graph neural network for the scoring of protein-protein docking models

G-RANK：一种用于蛋白质-蛋白质对接模型评分的等变图神经网络

期刊:Bioinformatics Advances

影响因子:2.8

doi:10.1093/bioadv/vbad011

Kim, Ha Young; Kim, Sungsik; Park, Woong-Yang; Kim, Dongsup

RAN

发表日期：2023

文献求助收藏

Brain physiome: A concept bridging in vitro 3D brain models and in silico models for predicting drug toxicity in the brain

脑生理组学：一个连接体外3D脑模型和计算机模型以预测药物脑毒性的概念

期刊:Bioactive Materials

影响因子:20.3

doi:10.1016/j.bioactmat.2021.11.009

Seo, Yoojin; Bang, Seokyoung; Son, Jeongtae; Kim, Dongsup; Jeong, Yong; Kim, Pilnam; Yang, Jihun; Eom, Joon-Ho; Choi, Nakwon; Kim, Hong Nam

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

人类基因组中以启动子为中心的远程染色质相互作用汇编

期刊:Nature Genetics

影响因子:29

doi:10.1038/s41588-019-0494-8

Jung, Inkyung; Schmitt, Anthony; Diao, Yarui; Lee, Andrew J; Liu, Tristin; Yang, Dongchan; Tan, Catherine; Eom, Junghyun; Chan, Marilynn; Chee, Sora; Chiang, Zachary; Kim, Changyoun; Masliah, Eliezer; Barr, Cathy L; Li, Bin; Kuan, Samantha; Kim, Dongsup; Ren, Bing

发表日期：2019

文献求助收藏

Global Analysis of Intercellular Homeodomain Protein Transfer.

细胞间同源域蛋白转移的全局分析

期刊:Cell Reports

影响因子:6.9

doi:10.1016/j.celrep.2019.06.056

Lee Eun Jung, Kim Namsuk, Park Jun Woo, Kang Kyung Hwa, Kim Woo-Il, Sim Nam Suk, Jeong Chan-Seok, Blackshaw Seth, Vidal Marc, Huh Sung-Oh, Kim Dongsup, Lee Jeong Ho, Kim Jin Woo

细胞生物学

发表日期：2019

文献求助收藏

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

利用多尺寸滤波器和多模态深度卷积神经网络预测RNA结合蛋白的结合特性

期刊:PLoS One

影响因子:2.6

doi:10.1371/journal.pone.0216257

Chung, Taesu; Kim, Dongsup

发表日期：2019

文献求助收藏

scMix: learning temporal dynamics of gene expression under irregular time intervals

scMix：学习不规则时间间隔下基因表达的时间动态

BIDpred: unraveling B cell Immunodominance hierarchical pattern using statistical feature discovery and deep learning prediction

BIDpred：利用统计特征发现和深度学习预测揭示B细胞免疫优势的层级模式

Integrating genomic and molecular data to predict antimicrobial minimum inhibitory concentration in Klebsiella pneumoniae

整合基因组和分子数据预测肺炎克雷伯菌的抗菌药物最低抑菌浓度

AbFlex: designing antibody complementarity determining regions with flexible CDR definition

AbFlex：设计具有灵活 CDR 定义的抗体互补决定区

TSpred: a robust prediction framework for TCR-epitope interactions using paired chain TCR sequence data

TSpred：一个利用成对链TCR序列数据预测TCR-表位相互作用的稳健框架

G-RANK: an equivariant graph neural network for the scoring of protein-protein docking models

G-RANK：一种用于蛋白质-蛋白质对接模型评分的等变图神经网络

Brain physiome: A concept bridging in vitro 3D brain models and in silico models for predicting drug toxicity in the brain

脑生理组学：一个连接体外3D脑模型和计算机模型以预测药物脑毒性的概念

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

人类基因组中以启动子为中心的远程染色质相互作用汇编

Global Analysis of Intercellular Homeodomain Protein Transfer.

细胞间同源域蛋白转移的全局分析

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

利用多尺寸滤波器和多模态深度卷积神经网络预测RNA结合蛋白的结合特性