AIMC Journal:
bioRxiv

Showing 751 to 760 of 4938 articles

COB: a comprehensive database of chloroplast outer envelope beta-barrel proteins

bioRxiv
Despite their central role in metabolite exchange, lipid trafficking, and protein import, chloroplast outer envelope beta-barrel proteins lack a dedicated comprehensive sequence database spanning many plant proteomes. Here we present COB (chloroplast...

Spatial Topology Reveals Biologically Distinct Recurrent Motifs in Colorectal Cancer

bioRxiv
Most spatial transcriptomic analyses of solid tumors focus on individual cell states or single-sample spatial domains rather than on recurrent multicellular tissue architectures shared across patients, and typically depend on predefined cell-type ann...

The Role of Training Paradigms in Shaping Connectivity and Dynamics: A Comparison of Gradient-Based and Evolutionary Methods in Recurrent Neural Network Models

bioRxiv
Recurrent neural networks (RNNs) trained with backpropagation through time (BPTT) use gradients and global error signals to solve tasks, while evolutionary algorithms (EAs) offer an alternative solution through gradient-free optimization. Both classe...

MolMAE: A Surface-Centric Multimodal Masked Autoencoder for Molecular Representation Learning

bioRxiv
Molecular representation learning has become a central component of modern computational drug discovery. Existing molecular foundation models mainly rely on SMILES strings, two-dimensional molecular graphs, or three-dimensional atomic coordinates. Ho...

Minimal Data, Maximal Insight (MDMI): A Structure-guided Pipeline for Discovering Functional Alternatives in Peptide-Protein Interfaces

bioRxiv
Discovering functional peptides across vast sequence space remains a formidable challenge, particularly when experimental training data is scarce. We present Minimal Data Maximal Insight (MDMI), a two-stage structure-guided computational pipeline tha...

Explainable AI identifies recombination and chromatin environment as key predictors of subgenome evolution in maize and Brassica

bioRxiv
Polyploidy, or whole genome duplication, reshapes genomes through biased gene loss and regulatory rewiring, yet the drivers of biased fractionation among subgenomes remain unclear. Using maize and Brassica rapa as model allopolyploids, we compiled 60...

The unique value of zero prediction errors in reinforcement learning

bioRxiv
Learning is typically understood as a process driven by prediction errors, when outcomes differ from expectations. Yet it remains unclear whether outcomes that perfectly match expectations are psychologically and computationally meaningful. Here, we ...

SpaceBio Knowledge Hub: A LiteratOmics Platform for Microgravity and Space Biology Research

bioRxiv
Space biology literature is growing exponentially. Existing infrastructure has not kept pace with organizing, synthesizing, and disseminating this knowledge. We present SpaceBio SpaceBio Knowledge Hub (www.spacebio.space), an integrated digital ecosy...

Ecological Cascades and Future Hantavirus Spillover Risk in a Changing Climate

bioRxiv
Anthropogenic climate change is reshuffling global biodiversity and accelerating zoonotic spillover at the human-wildlife interface. The 2026 multi-country cruise ship outbreak of Andes virus highlights the unpredictable and globalized threat posed b...

Potent substoichiometric inhibition of alpha-synuclein aggregation by de novo oligomer-binding proteins

bioRxiv
The non-amyloid {beta} component (NAC) domain of alpha synuclein (Syn) drives Syn aggregation in Parkinson disease, yet as an intrinsically disordered segment it lacks a stable epitope for conventional ligand discovery. Using deep learning-based prot...