Deep‐Learning‐Assisted Affinity Classification for Humoral Immunoprotein Complexes
Source abstract
Abstract
Humoral Immunoprotein Complexes This cover image represents a polarized light micrograph of a stain, which encodes valuable information about its intrinsic biomolecules. In article number 2400204, Joerg Lahann and co-workers use deep learning to classify immunoglobulin complexes and predicts protein interactions, offering new insights into protein properties and immunology.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Glycosylation and Glycoproteins Research · vaccines and immunoinformatics approaches · Monoclonal and Polyclonal Antibodies Research
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Karlsruhe Institute of Technology (KIT) Institute of Functional Interfaces (IFG) Hermann‐von‐Helmholtz‐Platz1 76344 Eggenstein‐Leopoldshafen Germany
Biointerfaces Institute University of Michigan Ann Arbor MI 48109 USA
References
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