Structural exploration with AlphaFold2-generated STAT3α structure reveals selective elements in STAT3α-GRIM-19 interactions involved in negative regulation

Increased thermal stability and catalytic efficiency of 3-ketosteroid Δ1-dehydrogenase5 from Arthrobacter simplex significantly reduces enzyme dosage in prednisone acetate biosynthesis

The 3-ketosteroid-Δ1-dehydrogenase5 (KsdD5) from Arthrobacter simplex converts cortisone acetate to prednisone acetate, an important step in steroid catabolism. To achieve sustainable and efficient enzyme production, we employed computer-aided screening, structural analysis, and combinatorial experiments to identify engineered KsdD5 variants (M1 and M3) with dual advantages of stability and active sites. M1 had a 8.2-fold longer half-life (19.6 h at 30 °C) than KsdD5-WT, an 11.8 °C higher half-inactivation temperature (T5015min), and a 10.6 °C higher melting temperature (Tm). M3 had 3.82-fold higher catalytic activity than WT, a 3.9-fold longer half-life at 30 °C, and higher T5015min and Tm by 14 °C and 6.9 °C, respectively. Furthermore, kinetic and microscale thermophoresis analyses revealed M3 exhibited higher catalytic efficiency due to its larger enzymatic channel. Molecular dynamics simulations showed M1 promoted tighter secondary structure packing, reduced residue flexibility, and increased hydrogen bond formation, ensuring enzyme stability and activity at elevated temperatures. Under industrial conditions, M1 converted >96 % cortisone acetate within 12 h at 30 °C with a 60 g·L-1 substrate dosage and 6 g·L-1 cell mass, whereas the M3 conversion rate was 95 %. This study demonstrates a robust strategy for developing efficient enzyme mutants, facilitating sustainable industrial production of prednisone acetate with a minimal enzyme dosage.

Structures prediction and replica exchange molecular dynamics simulations of α-synuclein: A case study for intrinsically disordered proteins

In recent years, a variety of three-dimensional structure prediction tools, including AlphaFold2, AlphaFold3, I-TASSER, C-I-TASSER, Phyre2, ESMFold, and RoseTTAFold, have been employed in the investigation of intrinsically disordered proteins. However, a comprehensive validation of these tools specifically for intrinsically disordered proteins has yet to be conducted. In this study, we utilize AlphaFold2, AlphaFold3, I-TASSER, C-I-TASSER, Phyre2, ESMFold, and RoseTTAFold to predict the structure of a model intrinsically disordered α-synuclein protein. Additionally, extensive replica exchange molecular dynamics simulations of the intrinsically disordered protein are conducted. The resulting structures from both structure prediction tools and replica exchange molecular dynamics simulations are analyzed for radius of gyration, secondary and tertiary structure properties, as well as Cα and Hα chemical shift values. A comparison of the obtained results with experimental data reveals that replica exchange molecular dynamics simulations provide results in excellent agreement with experimental observations. However, none of the structure prediction tools utilized in this study can fully capture the structural characteristics of the model intrinsically disordered protein. This study shows that a cluster of ensembles are required for intrinsically disordered proteins. Artificial-intelligence based structure prediction tools such as AlphaFold3 and C-I-TASSER could benefit from stochastic sampling or Monte Carlo simulations for generating an ensemble of structures for intrinsically disordered proteins.

Janus kinase inhibitors are potential therapeutics for amyotrophic lateral sclerosis

Amyotrophic lateral sclerosis (ALS) is a poorly treated multifactorial neurodegenerative disease associated with multiple cell types and subcellular organelles. As with other multifactorial diseases, it is likely that drugs will need to target multiple disease processes and cell types to be effective. We review here the role of Janus kinase (JAK)/Signal transducer and activator of transcription (STAT) signalling in ALS, confirm the association of this signalling with fundamental ALS disease processes using the BenevolentAI Knowledge Graph, and demonstrate that inhibitors of this pathway could reduce the ALS pathophysiology in neurons, glia, muscle fibres, and blood cells. Specifically, we suggest that inhibition of the JAK enzymes by approved inhibitors known as Jakinibs could reduce STAT3 activation and modify the progress of this disease. Analysis of the Jakinibs highlights baricitinib as a suitable candidate due to its ability to penetrate the central nervous system and exert beneficial effects on the immune system. Therefore, we recommend that this drug be tested in appropriately designed clinical trials for ALS.

Spartin: At the crossroad between ubiquitination and metabolism in cancer

SPART is a gene coding for a multifunctional protein called spartin, localized in various organelles of human cells. Mutations in the coding region are responsible for a hereditary form of spastic paraplegia called Troyer syndrome while the epigenetic silencing has been demonstrated for some types of tumors. The main functions of this gene are associated to endosomic trafficking and receptor degradation, microtubule interaction, cytokinesis, fatty acids and oxidative metabolism. Spartin has been shown to be a target regulated by STAT3 and localizes also at the level of the mitochondrial outer membrane, where it forms part of a complex maintaining the integrity of the membrane potential. The most recent evidences report a downregulation of spartin in tumor tissues when compared to adjacent normal samples. This intriguing evidence supports further research aimed at clarifying the role of this protein in cancer development and metabolism.