In silico resources help combat cancer drug resistance mediated by target mutations
YQ Huang, S Wang, DH Gong, V Kumar, YW Dong… - Drug Discovery …, 2023 - Elsevier
Drug resistance causes catastrophic cancer treatment failures. Mutations in target proteins
with altered drug binding indicate a main mechanism of cancer drug resistance (CDR) …
with altered drug binding indicate a main mechanism of cancer drug resistance (CDR) …
Interpretable dynamic directed graph convolutional network for multi-relational prediction of missense mutation and drug response
Q Gao, T Xu, X Li, W Gao, H Shi… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Tumor heterogeneity presents a significant challenge in predicting drug responses,
especially as missense mutations within the same gene can lead to varied outcomes such …
especially as missense mutations within the same gene can lead to varied outcomes such …
Predinid: predicting pathogenic inframe indels in human through graph convolution neural network with graph sampling technique
Z Yue, Y Xiang, G Chen, X Wang, K Li… - … /ACM Transactions on …, 2023 - ieeexplore.ieee.org
Inframe insertion/deletion (indel) variants may alter protein sequence and function, which
are closely related to an extensive variety of diseases. Although recent researches have …
are closely related to an extensive variety of diseases. Although recent researches have …
BES-Designer: A Web Tool to Design Guide RNAs for Base Editing to Simplify Library
Q Zhou, Q Gao, Y Gao, Y Zhang, Y Chen, M Li… - Interdisciplinary …, 2024 - Springer
CRISPR/Cas base editors offer precise conversion of single nucleotides without inducing
double-strand breaks. This technology finds extensive applications in gene therapy, gene …
double-strand breaks. This technology finds extensive applications in gene therapy, gene …
Mutation-drug sensitivity data resource (MDSDR): a comprehensive resource for studying and addressing drug resistance
Drug resistance hinders treating diseases like cancer, infections, and autoimmune
disorders[1]. Small-molecule drugs exert evolutionary pressure on rapidly evolving systems …
disorders[1]. Small-molecule drugs exert evolutionary pressure on rapidly evolving systems …
Controllable Edge-Type-Specific Interpretation in Multi-Relational Graph Neural Networks for Drug Response Prediction
X Li, J Gui, Q Gao, H Shi, Z Yue - arXiv preprint arXiv:2408.17129, 2024 - arxiv.org
Graph Neural Networks have been widely applied in critical decision-making areas that
demand interpretable predictions, leading to the flourishing development of interpretability …
demand interpretable predictions, leading to the flourishing development of interpretability …
GRA-GCN: dense granule protein prediction in Apicomplexa protozoa through graph convolutional network
H Shi, H Feng, Z Lu, W Xue, C Yang… - IEEE/ACM Transactions …, 2022 - ieeexplore.ieee.org
Dense granule proteins (GRAs) are secreted by Apicomplexa protozoa, which are closely
related to an extensive variety of farm animal diseases. Predicting GRAs is an integral part in …
related to an extensive variety of farm animal diseases. Predicting GRAs is an integral part in …