日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

A bio-inspired computational pipeline for antibody screening and repurposing.

一种受生物启发的抗体筛选和再利用计算流程。

Li Junxin, Ige Mark A, Zhang Chao, Liao Linbu, Rasul Faiz, Ren Xiaohu, Wan Xiaochun, Chen Youhai, Zhang Haiping

SC2Spa: a deep learning based approach to map transcriptome to spatial origins at cellular resolution

SC2Spa:一种基于深度学习的方法,可将转录组映射到细胞分辨率的空间起源。

Liao, Linbu; Madan, Esha; Palma, António M; Kim, Hyobin; Kumar, Amit; Bhoopathi, Praveen; Winn, Robert; Trevino, Jose; Fisher, Paul; Brakebusch, Cord Herbert; Kim, Gahyun; Kim, Junil; Gogna, Rajan; Won, Kyoung Jae

Development and experimental validation of computational methods for human antibody affinity enhancement

开发和实验验证用于增强人抗体亲和力的计算方法

Li, Junxin; Liao, Linbu; Zhang, Chao; Huang, Kaifang; Zhang, Pengfei; Zhang, John Z H; Wan, Xiaochun; Zhang, Haiping

DeepDoublet identifies neighboring cell-dependent gene expression

DeepDoublet 可识别邻近细胞依赖性基因表达

Liao, Linbu; Kim, Junyoung; Cho, Kanghee; Kim, Junil; Lim, Byung-Kwan; Won, Kyoung Jae

Neighbor-specific gene expression revealed from physically interacting cells during mouse embryonic development

小鼠胚胎发育过程中物理相互作用的细胞揭示邻近特异性基因表达

Junil Kim, Michaela Mrugala Rothová, Esha Madan, Siyeon Rhee, Guangzheng Weng, António M Palma, Linbu Liao, Eyal David, Ido Amit, Morteza Chalabi Hajkarim, Vignesh Vudatha, Andrés Gutiérrez-García, Eduardo Moreno, Robert Winn, Jose Trevino, Paul B Fisher, Joshua M Brickman, Rajan Gogna, Kyoung Jae W

Flower lose, a cell fitness marker, predicts COVID-19 prognosis

Flower lose(一种细胞健康状况标志物)可预测 COVID-19 的预后

Yekelchyk, Michail; Madan, Esha; Wilhelm, Jochen; Short, Kirsty R; Palma, António M; Liao, Linbu; Camacho, Denise; Nkadori, Everlyne; Winters, Michael T; Rice, Emily S; Rolim, Inês; Cruz-Duarte, Raquel; Pelham, Christopher J; Nagane, Masaki; Gupta, Kartik; Chaudhary, Sahil; Braun, Thomas; Pillappa, Raghavendra; Parker, Mark S; Menter, Thomas; Matter, Matthias; Haslbauer, Jasmin Dionne; Tolnay, Markus; Galior, Kornelia D; Matkwoskyj, Kristina A; McGregor, Stephanie M; Muller, Laura K; Rakha, Emad A; Lopez-Beltran, Antonio; Drapkin, Ronny; Ackermann, Maximilian; Fisher, Paul B; Grossman, Steven R; Godwin, Andrew K; Kulasinghe, Arutha; Martinez, Ivan; Marsh, Clay B; Tang, Benjamin; Wicha, Max S; Won, Kyoung Jae; Tzankov, Alexandar; Moreno, Eduardo; Gogna, Rajan

DeepBindPoc: a deep learning method to rank ligand binding pockets using molecular vector representation

DeepBindPoc:一种利用分子向量表示对配体结合口袋进行排序的深度学习方法

Zhang, Haiping; Saravanan, Konda Mani; Lin, Jinzhi; Liao, Linbu; Ng, Justin Tze-Yang; Zhou, Jiaxiu; Wei, Yanjie

DeepBindRG: a deep learning based method for estimating effective protein-ligand affinity

DeepBindRG:一种基于深度学习的蛋白质-配体有效亲和力评估方法

Zhang, Haiping; Liao, Linbu; Saravanan, Konda Mani; Yin, Peng; Wei, Yanjie