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Computational and Structural Biotechnology Journal|April 29, 2024
TCMM: A unified database for traditional Chinese medicine modernization and therapeutic innovationsZhixiang Ren, Yiming Ren, Zeting Li, et al.
Computational and Structural Biotechnology Journal|April 29, 2024
Annealed fractional Lévy-Itō diffusion models for protein generationEric Paquet, Farzan Soleymani, Herna Lydia Viktor, et al.
Computational and Structural Biotechnology Journal|April 29, 2024
Glucocorticoid therapy for sepsis in the AI era: a survey on current and future approachesChenglong Liang, Shuo Pan, Wei Wu, et al.
Computational and Structural Biotechnology Journal|May 1, 2024
Advanced computational predictive models of miRNA-mRNA interaction efficiencySharon Bader, Tamir Tuller
Computational and Structural Biotechnology Journal|April 8, 2024
Databases of ligand-binding pockets and protein-ligand interactionsKristy A Carpenter, Russ B Altman
Computational and Structural Biotechnology Journal|October 16, 2023
TWN-FS method: A novel fragment screening method for drug discoveryHye Ree Yoon, Gyoung Jin Park, Anand Balupuri, et al.
Computational and Structural Biotechnology Journal|October 23, 2023
Extensive characterization of 28 complete chloroplast genomes of Hydrangea species: A perspective view of their organization and phylogenetic and evolutionary relationshipsGurusamy Raman, Kyoung-Su Choi, Eun Mi Lee, et al.
Computational and Structural Biotechnology Journal|October 23, 2023
Automation of Caenorhabditis elegans lifespan assay using a simplified domain synthetic image-based neural network training strategyAntonio García-Garví, Pablo E Layana-Castro, Joan Carles Puchalt, et al.
Computational and Structural Biotechnology Journal|October 23, 2023
Towards generalization for Caenorhabditis elegans detectionSantiago Escobar-Benavides, Antonio García-Garví, Pablo E Layana-Castro, et al.
Computational and Structural Biotechnology Journal|October 19, 2023
EnsembleDL-ATG: Identifying autophagy proteins by integrating their sequence and evolutionary information using an ensemble deep learning frameworkLezheng Yu, Yonglin Zhang, Li Xue, et al.
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