Geometric deep learning on molecular representations

K Atz, F Grisoni, G Schneider - Nature Machine Intelligence, 2021 - nature.com
Geometric deep learning (GDL) is based on neural network architectures that incorporate
and process symmetry information. GDL bears promise for molecular modelling applications …

Characterization and immunogenicity assessment of MERS-CoV pre-fusion spike trimeric oligomers as vaccine immunogen

R Ahuja, P Vishwakarma, S Raj, V Kumar… - Human Vaccines & …, 2024 - Taylor & Francis
Middle East respiratory syndrome coronavirus (MERS-CoV) is a lethal beta-coronavirus that
emerged in 2012. The virus is part of the WHO blueprint priority list with a concerning fatality …

[HTML][HTML] Ensemble deep learning model for protein secondary structure prediction using NLP metrics and explainable AI

U Vignesh, R Parvathi, KG Ram - Results in Engineering, 2024 - Elsevier
Proteins are a major part of all living organisms, consisting of chains made from amino
acids, and they perform various biological processes such as DNA replication, metabolism …

Advances in optimisation algorithms and techniques for deep learning

CE Nwankpa - Advances in Science, Technology and …, 2020 - pureportal.strath.ac.uk
In the last decade, deep learning (DL) has witnessed excellent performances on a variety of
problems, including speech recognition, object recognition, detection, and natural language …

IGPRED-MultiTask: a deep learning model to predict protein secondary structure, torsion angles and solvent accessibility

Y Görmez, Z Aydin - IEEE/ACM Transactions on Computational …, 2022 - ieeexplore.ieee.org
Protein secondary structure, solvent accessibility and torsion angle predictions are
preliminary steps to predict 3D structure of a protein. Deep learning approaches have …

Proanthocyanidins prevent tau protein aggregation and disintegrate tau filaments

HH Yin, YL Han, X Yan, YX Guan - Chinese Journal of Chemical …, 2023 - Elsevier
Occurrence of neurofibrillary tangles of the tau protein is a hallmark of tau-related
neurodegenerative diseases, ie Alzheimer's disease (AD) and frontotemporal dementia. The …

Expression, purification, and biological characterization of recombinant human interleukin‐31 protein

J Chen, Y Zheng, L Wang, X Pang… - Biotechnology and …, 2023 - Wiley Online Library
Abstract Interleukin‐31 (IL‐31), belonging to the IL‐6 cytokine family, is involved in skin
inflammation and pruritus, as well as some tumors' progression. Here, we reported the …

[PDF][PDF] Dingo Optimized Fuzzy CNN technique for efficient protein structure prediction

PG Sreelekshmi, SC Ramesh - … Journal of Data Science and Artificial …, 2023 - kitspress.com
Protein is made up of a variety of molecules that are required by living organisms, such as
enzymes, hormones, and antibodies. In step 2, the max-pooling layer and the convolutional …

基于 NACEMD-GRU 的组合型日前负荷预测方法

****浩 - 电网与清洁能源, 2021 - epjournal.csee.org.cn
准确的日前负荷预测有助于降低电力成本, 提高电力系统的安全性和稳定性. 该文提出一种基于
NACEMD-GRU 的组合型日前负荷预测方法. 首先, 引入NACEMD (噪声辅助复数据经验模态 …

基于三维模型比对的输电线路弧垂检测方法

杜长青, 陈兵, 俞越中, 孙铭泽, 袁星, 王子涵… - 电网与清洁 …, 2021 - epjournal.csee.org.cn
提出了一种基于三维模型比对的输电线路弧垂检测方法, 以输电线路的激光点云和BIM
设计模型为数据融合基础, 首先对输电线路点云数据滤波分类, 建立输电线路的激光点云模型 …