Thriving in an exponential world requires more than a better strategy. It demands quantum thinking, the shift from linear ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

The modern digital supply chain is no longer a traditional linear sequence but a complex, interconnected ecosystem of ...

Mitochondria are cellular organelles that play an important role in making ATP (adenosine triphosphate), the molecular fuel that powers most cellular functions. These organelles originated over a ...

ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...

File "/data/cl/user/yangsl66/miniconda3/envs/fla/lib/python3.12/site-packages/fla/models/transformer/modeling_transformer.py", line 76, in forward hidden_states ...

Intrinsically Disordered Proteins (IDPs) challenge traditional structure-function paradigms by existing as dynamic ensembles rather than stable tertiary structures. Capturing these ensembles is ...

when you apply it to a full sequence when you split the sequence into two chunks, apply it to the first chunk to get a final state (past_key_values), and apply it to the second chunk using the initial ...

This study describes a molecular biological method for analyzing protein domains of low sequence complexity in search of segments that mediate self-association and consequent phase separation both in ...