CCL-DTI: contributing the contrastive loss in drug–target interaction prediction

Alireza Dehghan; Karim Abbasi; Parvin Razzaghi; Hossein Banadkuki; Sajjad Gharaghani

doi:10.1186/s12859-024-05671-3

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CCL-DTI: contributing the contrastive loss in drug–target interaction prediction

Alireza Dehghan Karim Abbasi Parvin Razzaghi Hossein Banadkuki Sajjad Gharaghani

Year: 2024 Journal: BMC Bioinformatics Vol: 25 (1)Pages: 48-48 Publisher: BioMed Central

DOI: 10.1186/s12859-024-05671-3

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Keywords:

Discriminative model Artificial intelligence Computer science Pattern recognition (psychology) Machine learning Cross entropy Margin (machine learning) Feature extraction Feature (linguistics) Feature learning Deep learning Function (biology) Task (project management)

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Computational Drug Discovery Methods

Physical Sciences → Computer Science → Computational Theory and Mathematics

Machine Learning in Materials Science

Physical Sciences → Materials Science → Materials Chemistry

Protein Structure and Dynamics

Life Sciences → Biochemistry, Genetics and Molecular Biology → Molecular Biology

CCL-DTI: contributing the contrastive loss in drug–target interaction prediction

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