Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or seque...
It is demonstrated that simple amino acid substitutions in L-PGDS can optimize drug binding, improve solubility, and suppress drug release, thus providing a basis for affinity-driven design of protein-based DDSs.
Masatoshi Nakatsuji, Haruka Muroya, Rina Okubo et al.· International Journal of Bio...· 0 citations
A myeloid Fli1-Gal-3-mTORC1 axis as a central pathway in SSc-associated cardiac fibrosis and a potential therapeutic target is identified, identifying a myeloid Fli1-Gal-3-mTORC1 axis as a central pathway in SSc-associated cardiac fibrosis and a potential therapeutic target.
Fatima El Adili, Knowledge M. Moyo, Hung Vo et al.· Arthritis & Rheumatology· 0 citations
Tetramethylpyrazine (TTMP) is a vital bioactive alkaloid and characteristic flavor compound in fermented foods. Our previous study found that fermentation of adlay by Bacillus subtilis BJ3-2 efficiently accumulates TTMP, whereas the underlying high-yield mechanism remains unclear. This study investigated the fermentati...
Yong-Xue Ma, Hong Zhang, Rongrong Zhang et al.· Food Research International· 1 citation
Reach audiences
Advertise in front of researchers, engineers, and readers.
Hashi is introduced, a pipeline to rapidly generate realistic structural ensembles from the outputs of the structure-based Wako- Saitô-Muñoz-Eaton (WSME) statistical mechanical model of protein folding, applicable to a variety of single-chain monomeric systems.
H. Madhan, Athi N. Naganathan· bioRxiv· 1 citation
Abstract For more than 50 years, the linear sequence and the multiple sequence alignment have been the foundational data structures of protein science, and they remain central to homology search, phylogenetic inference, covariance-based contact prediction, and modern protein language models. However, relational and gra...
Dana S. Matthews, S. B. Pulsford, Anthony Barancewicz et al.· Biochemical Journal· 0 citations
Aim
: to compare the discriminative ability and calibration of nested-architecture machine learning (ML) models and the Fetal Medicine Foundation (FMF) algorithm for predicting early-onset (< 34 weeks) and late-onset (≥ 34 weeks) preeclampsia (PE) in the first trimester of pregnancy in Russian population.
Mater...
А. А. Ivshin, Yu. S. Boldina, N. A. Malyshev· Obstetrics Gynecology and Re...· 0 citations
BACKGROUND
We have recently reported the preclinical characterization of a recombinant birch pollen allergy vaccine based on a fusion protein, AB-PreS, consisting of allergen-derived peptides fused to the hepatitis B virus (HBV)-derived PreS surface protein as immunological carrier.
OBJECTIVE
To investigate in a clin...
Musa Khaitov, Maria G. Byazrova, Evgenii Smolnikov et al.· Allergy. European Journal of...· 0 citations
Findings identify HPS and PRP as biologically active secretomes with potential to support neuronal structural remodeling, warranting investigation in primary neuronal cultures and in vivo models of peripheral nerve regeneration.
Jun Jiang, D. Safa, Samuel A. Knoedler et al.· Frontiers in Bioengineering...· 0 citations
Figure S2. Renal expression profile of qPCR-assessed candidate miRNA target genes in CLP and sham piglets. The horizontal bar plot shows log2 fold changes in renal mRNA expression in CLP relative to sham kidneys after normalization to 18S rRNA. Positive and negative values indicate higher and lower expression in the CL...
Ayodeji Adepoju, Mina S. Fanous, Olugbenga S. Michael et al.· Figshare· 0 citations
Biogenesis of the bacterial outer membrane is key to bacterial survival and antibiotic resistance. Central to this is the β-barrel assembly machine (Bam) complex and its associated chaperones, which are responsible for transport, folding and insertion of outer membrane proteins (OMPs). The Escherichia coli Bam complex...
Improving the reconstituted translation system is a key requirement for bottom-up synthetic biology. Here, we developed a two-step in vitro evolutionary method that can be used for improving translational proteins. In this method, two distinct conditions were sequentially applied while maintaining genotype-phenotype...
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.
