Eisai R&d Management Co., Ltd.

Flagship Pioneering Innovations Vi, LLC

Jacob D Feala

Ping Zhu

Peter G Smith

Silvia Buonamici

Lihua Yu

Yoshiharu Mizui

Michael W Seiler

Kian Huat Lim

Eunice Sun Park

Marco Peter Fekkes

Maxim Baranov

Kevin Kaichuang Yang

Brinda Monian

Humanizing proteins can be a laborious process, often involving trial and error or other non-systematic methods. To improve humanization, neural networks can be employed to generate new protein sequences having higher probabilities of being humanized. In an embodiment, a method includes evaluating the immunogenicity of a sampling of protein sequences. The method can include weighting the sampling of protein sequences from the generative model according to an estimated probability of a particular generated protein sequence having a deviation in immunogenicity than a particular percentile of immunogenicity of the sampling of protein sequences. The method can further include generating a protein sequence weighted sampling of protein sequences. The generated protein sequence representing a protein has an altered immunogenicity. Such a generated protein has a higher likelihood of being humanized.

Optimizing proteins using model based optimizations

Splice variants associated with neomorphic SF3B1 mutations are described herein. This application also relates to methods of detecting the described splice variants, and uses for diagnosing cancer, evaluating modulators of SF3B1, and methods of treating cancer associated with mutations in SF3B1.

Splice variants associated with neomorphic SF3B1 mutants

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Franklin, MA, United States of America

Jacob D Feala