Data-driven models for predicting intrinsically disordered protein polymer physics directly from composition or sequence

TH Chao, S Rekhi, J Mittal, DP Tabor - Molecular Systems Design & …, 2023 - pubs.rsc.org
The molecular-level understanding of intrinsically disordered proteins is challenging due to
experimental characterization difficulties. Computational understanding of IDPs also …
被引用次数：5 相关文章

Data-Driven Models for Predicting Intrinsically Disordered Protein Polymer Physics Directly from Composition or Sequence.

TH Chao, S Rekhi, J Mittal, DP Tabor - Molecular Systems Design & …, 2023 - europepmc.org
The molecular-level understanding of intrinsically disordered proteins is challenging due to
experimental characterization difficulties. Computational understanding of IDPs also …

Data-Driven Models for Predicting Intrinsically Disordered Protein Polymer Physics Directly from Composition or Sequence

TH Chao, S Rekhi, J Mittal… - … systems design & …, 2023 - pubmed.ncbi.nlm.nih.gov
The molecular-level understanding of intrinsically disordered proteins is challenging due to
experimental characterization difficulties. Computational understanding of IDPs also …

Data-Driven Models for Predicting Intrinsically Disordered Protein Polymer Physics Directly from Composition or Sequence

TH Chao, S Rekhi, J Mittal, DP Tabor - 2023 - chemrxiv.org
The molecular-level understanding of intrinsically disordered proteins is challenging due to
experimental characterization difficulties. Computational understanding of IDPs also …