Deep learning for prediction and optimization of fast-flow peptide synthesis
The chemical synthesis of polypeptides involves stepwise formation of amide bonds on an
immobilized solid support. The high yields required for efficient incorporation of each …
immobilized solid support. The high yields required for efficient incorporation of each …
100th anniversary of macromolecular science viewpoint: data-driven protein design
AL Ferguson, R Ranganathan - ACS Macro Letters, 2021 - ACS Publications
The design of synthetic proteins with the desired function is a long-standing goal in
biomolecular science, with broad applications in biochemical engineering, agriculture …
biomolecular science, with broad applications in biochemical engineering, agriculture …
Parallel automated flow synthesis of covalent protein complexes that can inhibit MYC-driven transcription
Dysregulation of the transcription factor MYC is involved in many human cancers. The
dimeric transcription factor complexes of MYC/MAX and MAX/MAX activate or inhibit …
dimeric transcription factor complexes of MYC/MAX and MAX/MAX activate or inhibit …
Drug discovery paradigms: target-based drug discovery
C Herrera-Acevedo, C Perdomo-Madrigal… - Drug target selection …, 2022 - Springer
Target-based drug discovery tools have been used with success in the pharmaceutical
industry. They have become the fundamental methodologies for discovering new drugs in …
industry. They have become the fundamental methodologies for discovering new drugs in …
[PDF][PDF] Learning representations from mass spectra for peptide property prediction
Peptide molecules have long been viewed as promising candidates for design of novel
therapeutics, and are likely to benefit from ML-guided approaches. However, learning to …
therapeutics, and are likely to benefit from ML-guided approaches. However, learning to …