Progress and challenges for the machine learning-based design of fit-for-purpose monoclonal antibodies
Although the therapeutic efficacy and commercial success of monoclonal antibodies (mAbs)
are tremendous, the design and discovery of new candidates remain a time and cost …
are tremendous, the design and discovery of new candidates remain a time and cost …
Trends in industrialization of biotherapeutics: a survey of product characteristics of 89 antibody-based biotherapeutics
There is considerable interest in the pharmaceutical industry toward development of
antibody-based biotherapeutics because they can selectively bind diverse receptors and …
antibody-based biotherapeutics because they can selectively bind diverse receptors and …
AMYPred-FRL is a novel approach for accurate prediction of amyloid proteins by using feature representation learning
Amyloid proteins have the ability to form insoluble fibril aggregates that have important
pathogenic effects in many tissues. Such amyloidoses are prominently associated with …
pathogenic effects in many tissues. Such amyloidoses are prominently associated with …
[HTML][HTML] Accelerating therapeutic protein design with computational approaches toward the clinical stage
Therapeutic protein, represented by antibodies, is of increasing interest in human medicine.
However, clinical translation of therapeutic protein is still largely hindered by different …
However, clinical translation of therapeutic protein is still largely hindered by different …
Stability of protein pharmaceuticals: Recent advances
MC Manning, RE Holcomb, RW Payne… - Pharmaceutical …, 2024 - Springer
There have been significant advances in the formulation and stabilization of proteins in the
liquid state over the past years since our previous review. Our mechanistic understanding of …
liquid state over the past years since our previous review. Our mechanistic understanding of …
[HTML][HTML] Protein Condensates and Protein Aggregates: In Vitro, in the Cell, and In Silico
K Venko, E Žerovnik - Frontiers in Bioscience-Landmark, 2023 - imrpress.com
Similar to other polypeptides and electrolytes, proteins undergo phase transitions, obeying
physicochemical laws. They can undergo liquid-to-gel and liquid-to-liquid phase transitions …
physicochemical laws. They can undergo liquid-to-gel and liquid-to-liquid phase transitions …
Computationally-aided modeling of Hsp70–client interactions: past, present, and future
EB Nordquist, EM Clerico, J Chen… - The Journal of Physical …, 2022 - ACS Publications
Hsp70 molecular chaperones play central roles in maintaining a healthy cellular proteome.
Hsp70s function by binding to short peptide sequences in incompletely folded client …
Hsp70s function by binding to short peptide sequences in incompletely folded client …
[HTML][HTML] Interpretable molecular encodings and representations for machine learning tasks
Molecular encodings and their usage in machine learning models have demonstrated
significant breakthroughs in biomedical applications, particularly in the classification of …
significant breakthroughs in biomedical applications, particularly in the classification of …
Recombinant multiepitope proteins expressed in Escherichia coli cells and their potential for immunodiagnosis
AAM Gonçalves, AJ Ribeiro, CAA Resende… - Microbial Cell …, 2024 - Springer
Recombinant multiepitope proteins (RMPs) are a promising alternative for application in
diagnostic tests and, given their wide application in the most diverse diseases, this review …
diagnostic tests and, given their wide application in the most diverse diseases, this review …
Prediction of aggregation of biologically-active peptides with the UNRES coarse-grained model
The UNited RESidue (UNRES) model of polypeptide chains was applied to study the
association of 20 peptides with sizes ranging from 6 to 32 amino-acid residues. Twelve of …
association of 20 peptides with sizes ranging from 6 to 32 amino-acid residues. Twelve of …