Antibody-antigen binding prediction
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Antibody-antigen binding prediction involves using computational or experimental methods to assess how well an antibody interacts with its target antigen. This can be done by analyzing features such as sequence, structure, and physicochemical properties. These predictions aid in designing therapeutic antibodies, vaccines, and diagnostic tests. Validation through experimental assays ensures the accuracy of the predictions and their applicability in biomedical research and development.
The binding site prediction task is used to predict which antibody residues interact with an antigen. A residue is considered part of the paratope’s binding site if any of its heavy atoms (non-hydrogen atoms) is located within 4.5˚A of any antigen-heavy atom.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/LBM-EPFL/PeSTo
https://github.com/aggelos-michael-papadopoulos/ParaSurf
https://github.com/eliberis/parapred
https://github.com/jianqingzheng/XBCR-net
https://github.com/nicwulab/HA_Abs
https://github.com/oxpig/Paragraph
https://github.com/sebastiandaberdaku/AntibodyInterfacePrediction
https://github.com/vamships/PECAN
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.