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

Classification of driver and passenger mutations in different cancer types using deep neural networks

利用深度神经网络对不同癌症类型中的驱动基因突变和乘客基因突变进行分类

Pandey, Medha; Paruchuri, Anoosha; Gromiha, M Michael

DRLiPS: a novel method for prediction of druggable RNA-small molecule binding pockets using machine learning

DRLiPS:一种利用机器学习预测可成药RNA-小分子结合口袋的新方法

Krishnan, Sowmya Ramaswamy; Roy, Arijit; Wong, Limsoon; Gromiha, M Michael

Investigating Local Sequence-Structural Attributes of Amyloidogenic Light Chain Variable Domains

研究淀粉样蛋白轻链可变区的局部序列-结构属性

Rawat, Puneet; Prabakaran, R; Sharma, Divya; Mandala, Vasanth; Greiff, Victor; Kumar, Sandeep; Gromiha, M Michael

Blind prediction of complex water and ion ensembles around RNA in CASP16

CASP16 中 RNA 周围复杂水和离子集合的盲预测

Kretsch, Rachael C; Posani, Elisa; Baulin, Eugene F; Bujnicki, Janusz M; Bussi, Giovanni; Cheatham, Thomas E 3rd; Chen, Shi-Jie; Elofsson, Arne; Farsani, Masoud Amiri; Fisher, Olivia N; Gromiha, M Michael; Gupta, Ayush; Hamada, Michiaki; Harini, K; Hu, Gang; Huang, David; Iwakiri, Junichi; Jain, Anika; Kagaya, Yuki; Kihara, Daisuke; Kmiecik, Sebastian; Krishnan, Sowmya Ramaswamy; Kurisaki, Ikuo; Languin-Cattoën, Olivier; Li, Jun; Li, Shanshan; Malekzadeh, Karim; Nakamura, Tsukasa; Ni, Wentao; Nithin, Chandran; Palo, Michael Z; Park, Joon Hong; Pilla, Smita P; Poblete, Simón; Pucci, Fabrizio; Punuru, Pranav; Saha, Anouka; Sato, Kengo; Srivastava, Ambuj; Terashi, Genki; Tugolukova, Emilia; Verburgt, Jacob; Wuyun, Qiqige; Zerze, Gül H; Zhang, Kaiming; Zhang, Sicheng; Zheng, Wei; Zhou, Yuanzhe; Chiu, Wah; Case, David A; Das, Rhiju

Integrative Computational Approaches for Understanding Drug Resistance in HIV-1 Protease Subtype C

利用综合计算方法理解HIV-1蛋白酶C亚型的耐药性

Venkatachalam, Sankaran; Muralidharan, Nisha; Pandian, Ramesh; Sayed, Yasien; Gromiha, M Michael

Reliable method for predicting the binding affinity of RNA-small molecule interactions using machine learning

利用机器学习预测RNA-小分子相互作用结合亲和力的可靠方法

Krishnan, Sowmya R; Roy, Arijit; Gromiha, M Michael

rAbDesFlow: a novel workflow for computational recombinant antibody design for healthcare engineering

rAbDesFlow:一种用于医疗保健工程的新型计算重组抗体设计工作流程

Krishnan, Sowmya Ramaswamy; Sharma, Divya; Nazeer, Yasin; Bose, Mayilvahanan; Rajkumar, Thangarajan; Jayaraman, Guhan; Madaboosi, Narayanan; Gromiha, M Michael

Tracing ALS Degeneration: Insights from Spinal Cord and Cortex Transcriptomes

追踪肌萎缩侧索硬化症的退化:来自脊髓和皮质转录组的启示

Sneha, Nela Pragathi; Dharshini, S Akila Parvathy; Taguchi, Y-H; Gromiha, M Michael

TMKit: a Python interface for computational analysis of transmembrane proteins

TMKit:用于跨膜蛋白计算分析的Python接口

Sun, Jianfeng; Kulandaisamy, Arulsamy; Ru, Jinlong; Gromiha, M Michael; Cribbs, Adam P

In silico evaluation of the impact of Omicron variant of concern sublineage BA.4 and BA.5 on the sensitivity of RT-qPCR assays for SARS-CoV-2 detection using whole genome sequencing

利用全基因组测序,通过计算机模拟评估关注的Omicron变异株BA.4和BA.5亚系对SARS-CoV-2检测RT-qPCR检测灵敏度的影响

Sharma, Divya; Notarte, Kin Israel; Fernandez, Rey Arturo; Lippi, Giuseppe; Gromiha, M Michael; Henry, Brandon M