In this review, some of the challenges and opportunities encountered during protein comparability assessments are summarized with an emphasis on developing new analytical approaches to better monitor higher-order protein structures. Several case studies are presented using high throughput biophysical methods to collect protein physical stability data as function of temperature, agitation, ionic strength and/or solution pH. These large data sets were then used to construct empirical phase diagrams (EPDs), radar charts, and comparative signature diagrams (CSDs) for data visualization and structural comparisons between the different proteins. Protein samples with different sizes, post-translational modifications, and inherent stability are presented: acidic fibroblast growth factor (FGF-1) mutants, different glycoforms of an IgG1 mAb prepared by deglycosylation, as well as comparisons of different formulations of an IgG1 mAb and granulocyte colony stimulating factor (GCSF). Using this approach, differences in structural integrity and conformational stability profiles were detected under stress conditions that could not be resolved by using the same techniques under ambient conditions (i.e., no stress). Thus, an evaluation of conformational stability differences may serve as an effective surrogate to monitor differences in higher-order structure between protein samples. These case studies are discussed in the context of potential utility in protein comparability studies.
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http://dx.doi.org/10.3389/fphar.2014.00039 | DOI Listing |
Cancer Biol Ther
December 2025
Department of Hematology, Taixing People's Hospital Affiliated to Yangzhou University, Taixing, China.
Objectives: Acute T-cell lymphoblastic leukemia (T-ALL) is a severe hematologic malignancy with limited treatment options and poor long-term survival. This study explores the role of IKZF1 in regulating BCL-2 expression in T-ALL.
Methods: CUT&Tag and CUT&Run assays were employed to assess IKZF1 binding to the BCL-2 promoter.
Mol Divers
January 2025
Key Laboratory for Macromolecular Science of Shaanxi Province, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi'an, 710119, People's Republic of China.
Molecular Property Prediction (MPP) is a fundamental task in important research fields such as chemistry, materials, biology, and medicine, where traditional computational chemistry methods based on quantum mechanics often consume substantial time and computing power. In recent years, machine learning has been increasingly used in computational chemistry, in which graph neural networks have shown good performance in molecular property prediction tasks, but they have some limitations in terms of generalizability, interpretability, and certainty. In order to address the above challenges, a Multiscale Molecular Structural Neural Network (MMSNet) is proposed in this paper, which obtains rich multiscale molecular representations through the information fusion between bonded and non-bonded "message passing" structures at the atomic scale and spatial feature information "encoder-decoder" structures at the molecular scale; a multi-level attention mechanism is introduced on the basis of theoretical analysis of molecular mechanics in order to enhance the model's interpretability; the prediction results of MMSNet are used as label values and clustered in the molecular library by the K-NN (K-Nearest Neighbors) algorithm to reverse match the spatial structure of the molecules, and the certainty of the model is quantified by comparing virtual screening results across different K-values.
View Article and Find Full Text PDFJ Pharmacokinet Pharmacodyn
January 2025
Global PK/PD/PMx, Eli Lilly and Company, 8 Arlington Square West, Downshire Way, Bracknell, Berkshire, RG12 1PU, UK.
Brain amyloid beta neuritic plaque accumulation is associated with an increased risk of progression to Alzheimer's disease (AD) [Pfeil, J., et al. in Neurobiol Aging 106: 119-129, 2021].
View Article and Find Full Text PDFInflamm Res
January 2025
Departamento de Biomedicina - Unidade de Farmacologia e Terapêutica, Faculdade de Medicina da Universidade do Porto (FMUP), Rua Dr. Plácido da Costa, S/N, Edifício Poente, Piso 3, 4200-450, Porto, Portugal.
Background And Aims: Endocan has been scarcely explored in COVID-19, especially regarding its modulation by veno-venous extracorporeal membrane oxygenation (VV-ECMO), hypertension or previous renin-angiotensin-aldosterone system (RAAS) inhibitors treatment. We compared endocan and other endotheliitis markers in hospitalized COVID-19 patients and assessed their modulation by VV-ECMO, hypertension and previous RAAS inhibitors treatment.
Material And Methods: Serum endocan, intercellular adhesion molecule-1 (ICAM-1), vascular cell adhesion molecule-1 (VCAM-1) and E-selectin were measured in "severe" (n = 27), "critically ill" (n = 17) and "critically ill on VV-ECMO" (n = 17) COVID-19 patients at admission, days 3-4, 5-8 and weekly thereafter, and in controls (n = 23) at a single time point.
J Neurol
January 2025
Clinical and Molecular Epidemiology, IRCCS San Raffaele Roma, Rome, Italy.
Objectives: To determine whether extending anti-CGRP mAb treatment beyond 3 years influences migraine course, we analyzed migraine frequency during the first month of treatment discontinuation following three 12-month treatment cycles (Ts).
Methods: This multicenter, prospective, real-world study enrolled 212 patients with high-frequency episodic migraine (HFEM) or chronic migraine (CM) who completed three consecutive Ts of subcutaneous anti-CGRP mAbs. Discontinuation periods (D1, D2, D3) were defined as the first month after T1, T2, and T3, respectively.
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