Other

Ibio Limited

Arizona State University

Matthew Paul Greving

Trent Russell Northen

Mohan Srinivasan

Phung Tu Gip

Kevin Eduard Hauser

Stephen Albert Johnston

Neal W T Woodbury

Joseph D Cohen

Bing Li

Angeles Estelles

Michael Charles Nyman

Alex T Taguchi

Cody A Moore

Zhan Gong Zhao

Alexander T Taguchi

Christian Barrett

Matt Lundberg

Andrew Morin

Jordan R Willis

Provided herein engineered polypeptides that comprise a combination of spatially-associated topological constraints, wherein at least one constraint is derived from a CD25 reference target, and methods of selecting said engineered polypeptides. Further provided are methods of using the engineered polypeptides, including as positive and/or negative selection molecules in methods of screening a library of binding molecules such as antibodies. Further provided herein are CD25 antibodies selected using these engineered polypeptides.

Engineered CD25 polypeptides and uses thereof

Provided herein are antibodies that specifically bind to CD25. Also provided herein are methods of making the antibodies described, and methods of use thereof. For example, the CD25 antibodies may be used therapeutically to treat cancer or autoimmune diseases, and in certain aspects: disrupt the trimerization of the beta, gamma, and alpha (CD25) chains of the IL-2 receptor, bind to a different epitope than to which Daclizumab or Baciliximab bind, exhibit a higher affinity of binding to CD25 at a pH lower than 7.4, when compared to the affinity of binding to CD25 at a pH of 7.4, and/or exhibit a higher affinity of binding to CD25 at a pH of about 6.5.

CD25 antibodies

Provided herein are methods for design of engineered polypeptides that recapitulate molecular structure features of a predetermined portion of a reference protein structure, e.g., an antibody epitope or a protein binding site. A Machine Learning (ML) model is trained by labeling blueprint records generated from a reference target structure with scores calculated based on computational protein modeling of polypeptide structures generated by the blueprint records. The method may include training an ML model based on a first set of blueprint records, or representations thereof, and a first set of scores, each blueprint record from the first set of blueprint records associated with each score from the first set of scores. After the training, the machine learning model may be executed to generate a second set of blueprint records. A set of engineered polypeptides are then generated based on the second set of blueprint records.

Machine learning method for protein modelling to design engineered peptides

Embodiments of business systems and data processing systems and related methods, apparatus, compositions, systems, and articles of manufacture useful for providing mass spectrographic analysis services are disclosed. In embodiments, MS analysis services may be provided to customers without exposing proprietary information of the customer to the service provider or others.

Business and data processing system for providing mass spectrometric services

The present application provides arrays for use in immunosignaturing and quality control of such arrays. Also disclosed are peptide arrays and uses thereof for diagnostics, therapeutics and research.

Non-covalent patterned chemical features and use thereof in MALDI-based quality control

Methods, apparatus, compositions, systems, and articles of manufacture useful in connection with performing offsite mass spectrometric (MS) analysis of samples are disclosed. In embodiments, library samples are arrayed on MS substrates in a blinded fashion and stability-packaged for transport to an off-site location where the MS substrate is de-packaged and MS analysis is performed, enabling off-site MS analysis without requiring transport of the sample library and without compromising the confidentiality of the library contents. Also disclosed are embodiments relating to substrates for desorbing and ionizing analytes, including kits and methods of use thereof.

Methods, apparatus, and compositions for mass spectrometry

Methods, apparatus, compositions, systems, and articles of manufacture useful in connection with performing offsite mass spectrometric (MS) analysis of samples are disclosed. In embodiments, library samples are arrayed on MS substrates in a blinded fashion and stability-packaged for transport to an off-site location where the MS substrate is de-packaged and MS analysis is performed, enabling off-site MS analysis without requiring transport of the sample library and without compromising the confidentiality of the library contents.

Mass spectrometry methods and apparatus

The subject matter provided herein relates to substrates for desorbing and ionizing analytes, and kits and methods of use thereof. The substrate provided herein comprises a porous semiconductor, a fluorous initiator, and a photoactive compound containing a fluorous group.

Growing community of inventors

San Diego, CA, United States of America

Matthew Paul Greving