A comprehensive review evaluates how modern artificial intelligence architectures model understudied proteins and molecular interactions while detailing critical limitations in ...
A scientific review outlines how machine learning architectures are expanding structural modeling across cell membrane receptors while emphasizing the need ...
A review in Genes & Immunity details the mechanisms by which phosphoantigens and butyrophilins activate γ9δ2 T cells, highlighting structural ...
VIB and Ghent University researchers have revealed the molecular mechanism of IL-36 receptor activation, explaining how it triggers inflammation and ...
Cryo-electron microscopy structures of the cyanobacterial ChlG2HliD2 complex uncover how chlorophyll synthase coordinates substrate entry, catalysis, and photoprotective pigment binding ...
Researchers have developed SRLIDP, a dual-granularity computational framework that extracts protein disorder signals across intermediate language model layers while filtering ...
Researchers have uncovered how host membrane sphingomyelin and cholesterol act synergistically as a conformational chaperone to drive Cytolysin A pore ...
Researchers developed a trapezoid cryo-FIB milling strategy combined with finite element mechanical modeling to enable dual-axis cryo-electron tomography and prevent ...
Researchers have introduced ContextMirror 2.0, an unsupervised coevolutionary algorithm that maps species-specific protein interactions and identifies functional bacterial communities without ...
A structure-guided bivalent vaccine candidate stabilizes the prefusion respiratory syncytial virus fusion protein without exogenous disulfides, eliciting durable neutralizing antibodies ...
A T271D mutant of L-Pantolactone dehydrogenase shows an 8.2-fold increase in whole-cell catalytic activity for D-pantolactone production.
A new Soft-Voting framework weights common-line evidence by confidence, lowering orientation errors on synthetic low-SNR data and yielding competitive ab ...
A compact energy-based neural network called LEEN predicts protein stability changes from single amino acid substitutions using roughly 2 to ...
Researchers have developed GraphPepTox, a geometric deep learning framework that models spatial residue relationships to improve peptide toxicity prediction.
Structural studies reveal that suramin inhibits diverse viral RNA-dependent RNA polymerases by targeting conserved electropositive channels, providing a framework for ...
Researchers have demonstrated that secondary DNA aptamers can recognize ligand-induced conformational states in primary aptamers, establishing an alternative mode of ...
A meta-learning framework called RobPicker corrects annotation errors and reweights rare species, improving particle picking and 3D density map resolution ...
A comprehensive review details how deep neural networks are automating every stage of cryo-electron microscopy, from particle picking to high-resolution ...
The open-source MATLAB package tomoPoseLink quantifies protein chains, fibrils and lattice organization directly from subtomogram averaging data, demonstrated on Rubisco ...
A new review describes how molecular docking now supports PET probe development from virtual screening to tau tracer evaluation, while ...
