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Interdisciplinary Sciences, Computational Life Sciences|June 18, 2021
Sequence-Based Prediction of Transmembrane Protein Crystallization PropensityQizhi Zhu, Lihua Wang, Ruyu Dai, et al.Interdisciplinary Sciences, Computational Life Sciences|October 25, 2017
Diversity in αβ and βα Loop Connections in TIM Barrel Proteins: Implications for Stability and Design of the FoldRajashekar Varma Kadumuri, Ramakrishna VadrevuInterdisciplinary Sciences, Computational Life Sciences|June 3, 2026
NphosNet: Predicting Protein N-Phosphorylation Sites via xLSTM and Enhanced PLM Features with a Weighted Three-Channel Cross-Attention MechanismLun Zhu, Yiyu Lin, Sen YangInterdisciplinary Sciences, Computational Life Sciences|June 6, 2025
DynamicDTA: Drug-Target Binding Affinity Prediction Using Dynamic Descriptors and Graph RepresentationDan Luo, Jinyu Zhou, Le Xu, et al.Interdisciplinary Sciences, Computational Life Sciences|June 1, 2026
Unveiling the Impact of Copper Metabolism on Epithelial-Mesenchymal Transition of Triple-Negative Breast Cancer: Identification of Therapeutic TargetsKai Zhuang, Lin Yan, Muhammad Waqas, et al.Interdisciplinary Sciences, Computational Life Sciences|June 1, 2026
Attention-Guided Multi-View Contrastive Learning for Predicting Sparse Drug-Gene AssociationsQingyong Wang, Yudong Liu, Shangping ZhaoInterdisciplinary Sciences, Computational Life Sciences|May 21, 2026
CDM-UNet: Content-Driven Enhanced Mamba Model for Medical Image SegmentationFan Zhang, Hui Chen, Binjie Wang, et al.Interdisciplinary Sciences, Computational Life Sciences|May 8, 2026
VFLING: Vertical Federated Learning for Multi-Omics Data Integration with GraphsXiaoli Li, Qi Li, Dedao Lu, et al.Interdisciplinary Sciences, Computational Life Sciences|July 15, 2026
GATESynergy: Integrating Molecular Global-Local Aggregator and Hierarchical Gene-Gated Encoder for Drug Synergy PredictionYan Wang, Jiana Ding, Zhiyao Han, et al.Interdisciplinary Sciences, Computational Life Sciences|August 11, 2026
A Novel Cancer Driver Genes Identification Method Based on Self-Supervised Dual Masked Graph AutoencoderPi-Jing Wei, Xinhao Guo, Wenjun Li, et al.Pageof 107