Ranjani Gopal
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View article: Enhancing antibody affinity through experimental sampling of non-deleterious CDR mutations predicted by machine learning
Enhancing antibody affinity through experimental sampling of non-deleterious CDR mutations predicted by machine learning Open
The application of machine learning (ML) models to optimize antibody affinity to an antigen is gaining prominence. Unfortunately, the small and biased nature of the publicly available antibody-antigen interaction datasets makes it challeng…
View article: Machine Learning-Guided Antibody Engineering That Leverages Domain Knowledge To Overcome The Small Data Problem
Machine Learning-Guided Antibody Engineering That Leverages Domain Knowledge To Overcome The Small Data Problem Open
The application of Machine Learning (ML) tools to engineer novel antibodies having predictable functional properties is gaining prominence. Herein, we present a platform that employs an ML-guided optimization of the complementarity-determi…
View article: Optimizing Antibody Affinity and Developability Using a Framework–CDR Shuffling Approach—Application to an Anti-SARS-CoV-2 Antibody
Optimizing Antibody Affinity and Developability Using a Framework–CDR Shuffling Approach—Application to an Anti-SARS-CoV-2 Antibody Open
The computational methods used for engineering antibodies for clinical development have undergone a transformation from three-dimensional structure-guided approaches to artificial-intelligence- and machine-learning-based approaches that le…