Academic Journal
Q2Interdisciplinary Sciences – Computational Life Sciences
About Interdisciplinary Sciences – Computational Life Sciences
Interdisciplinary Sciences - Computational Life Sciences is a scholarly journal published by Springer Science and Business Media Deutschland GmbH. SCImago 2025 lists it in Q2, with an SJR of 0.85 and H-index of 43.
Coverage: 2009-2026. Research categories: Biochemistry, Genetics and Molecular Biology (miscellaneous) (Q2); Computer Science Applications (Q2); Health Informatics (Q2).
Verified field sources
- Journal Impact Factor: 5.2 — Official source; checked 2026-10-03. Journal metric year and editorial leadership as listed on the Springer Nature journal homepage.
- Impact Factor year: 2025 — Official source; checked 2026-10-03. Journal metric year and editorial leadership as listed on the Springer Nature journal homepage.
- Editor(s): Dongqing Wei PhD (Editor-in-Chief) — Official source; checked 2026-10-03. Journal metric year and editorial leadership as listed on the Springer Nature journal homepage.
Source-backed journal facts
Topics in published research
Computational Drug Discovery Methods; Machine Learning in Bioinformatics; Bioinformatics and Genomic Networks; RNA and protein synthesis mechanisms; Protein Structure and Dynamics; Genomics and Phylogenetic Studies.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Reported open-access list prices
3,990.00 USD; 3,090.00 EUR; 2,690.00 GBP
APC list prices reported by OpenAlex, which obtains this information from DOAJ. Confirm current charges, taxes, waivers and eligibility with the publisher; this is not a fee quotation.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
3D UXFormer: Dual-Branch Feature Fusion for Precise Breast MRI Multi-Tissue Segmentation
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Shuang Du, Wenying Li, Zhennuo Wang, Shaoqiang Wang et al.
2026-09-23 · DOI: 10.1007/s12539-026-00880-1Accurate RNA-Ligand Binding Site Prediction Based on a Multi-Channel Graph Neural Network
Na Li, Jingran Niu, Zhendong Liu, Jiamin Jiang et al.
2026-09-19 · DOI: 10.1007/s12539-026-00883-yMSDW-Net: A Multi-Scale Network for Medical Image Registration Using Dynamic Wavelet Transform
Bohua Chu, Baoju Zhang, Bo Zhang, Cuiping Zhang et al.
2026-09-16 · DOI: 10.1007/s12539-026-00845-4Beyond Structural Representations: A Semantic-Relational Graph Neural Network for Polypharmacy Side Effect Prediction
Fatma Zahra Abdeldjouad, Menaouer Brahami
2026-09-11 · DOI: 10.1007/s12539-026-00877-wHMHLVI: Hybrid Multi-view Hypergraph Learning with Variational Inference for snoRNA-Drug Association Prediction
Tiyao Liu, Shudong Wang, Dapeng Wang, Shaoqiang Wang et al.
2026-09-04 · DOI: 10.1007/s12539-026-00875-yA Re-parameterized Network-Based Lightweight Multimodal Fusion Network for Early Lung Cancer Risk Prediction
Qifan Huang, Congjun Rao, Fuyan Hu, Xinping Xiao et al.
2026-09-04 · DOI: 10.1007/s12539-026-00873-0MBPBERT: A Large Language Model for Metal-Binding Peptide Discovery
Guifen Jian, Xinwei Li, Yu Chen, Junjie Liu et al.
2026-08-28 · DOI: 10.1007/s12539-026-00847-2Predicting circRNA-Drug Sensitivity Using Integrated Hybrid Graph and Molecular Features
Yongtian Wang, Wenkai Shen, Jiahao Li, Jialu Hu et al.
2026-08-26 · DOI: 10.1007/s12539-026-00870-3Hierarchical Graph Representation Learning for Protein–Protein Interaction Site Prediction
Wenjun Xu, Xiaosong Wang, Zihao Zhao, Lei Chen et al.
2026-08-26 · DOI: 10.1007/s12539-026-00868-xIntelligent Medication Recommendation via Dynamic Prescription Modeling and Molecular Substructure Learning
Yabin Kuang, Minzhu Xie, Jiancheng Zhong
2026-08-26 · DOI: 10.1007/s12539-026-00861-43D Geometric Equivariant Graph Neural Networks with Contrastive Learning for Protein–Ligand Binding Affinity Prediction
Gaili Li, Yongna Yuan, Xiuping Chen, Ping Wang et al.
2026-08-26 · DOI: 10.1007/s12539-026-00867-yAWTI-Net Enables Accurate and Interpretable Functional Assessment of Disease-Associated LncRNA Mutations
Haipeng Zhu, Douyue Li, Zehang Jiang, Minglei Yang et al.
2026-08-26 · DOI: 10.1007/s12539-026-00869-wscLGGCL: Label-Guided Graph Contrastive Learning for Single-Cell Fusion Clustering
Wenjing Su, Baojuan Qin, Junliang Shang, Yan Zhao et al.
2026-08-24 · DOI: 10.1007/s12539-026-00858-zUniPept: A Universal Model for Predicting Peptide Properties Based on Atom-Residue Dual-Scale Integration
Haoshuang Wu, Yu Deng, Zhen Li, Mingming Qi et al.
2026-08-24 · DOI: 10.1007/s12539-026-00863-2TransTCR: Integrating TCRs and Transcriptomes Through Optimal Transport for Antigen Specificity Prediction
Wenbing Li, Yuansong Zeng, Ruipeng Huang, Yuanze Chen et al.
2026-08-12 · DOI: 10.1007/s12539-026-00865-0A Novel Cancer Driver Genes Identification Method Based on Self-Supervised Dual Masked Graph Autoencoder
Pi-Jing Wei, Xinhao Guo, Wenjun Li, Yun Ding et al.
2026-08-11 · DOI: 10.1007/s12539-026-00866-zCCVAN Leverages Conditional Molecular Generation Through Conditional VAE and Wasserstein GAN
Jianqiang Zheng, Ziqi Xu, Junwen Huang, Xiaochuan Chen et al.
2026-07-29 · DOI: 10.1007/s12539-026-00860-5Integrated Genome-Wide Association Study and Machine Learning Approach for Characterizing the Determinants of Biofilm Formation in Staphylococcus aureus
Lydia R. Sidarous, Mostafa S. Ibrahim, Mohamed Elhadidy, Alaa Abouelfetouh et al.
2026-07-24 · DOI: 10.1007/s12539-026-00855-2Semi-supervised Medical Image Segmentation via Perturbation-Aware Mutual Learning and Edge-Aware Uncertainty Loss for Accurate Anatomical Delineation
Waqas Anwaar, Van Manh, Wufeng Xue, Dong Ni et al.
2026-07-21 · DOI: 10.1007/s12539-026-00862-3Reviews
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Version History
October 4, 2026 at 9:03 pm
October 2, 2026