Results 61 to 70 of about 7,742 (179)
SemiSynBio: A new era for neuromorphic computing
Neuromorphic computing has the potential to achieve the requirements of the next-generation artificial intelligence (AI) systems, due to its advantages of adaptive learning and parallel computing. Meanwhile, biocomputing has seen ongoing development with
Ruicun Liu +8 more
doaj +1 more source
Measuring local-directional resolution and local anisotropy in cryo-EM maps
It is important to analyse the local resolution of cryo-EM maps. Here the authors present MonoDir, a fully automatic and parameter free method for the directional local resolution analysis of cryo-EM maps that requires only the final map as input and ...
Jose Luis Vilas +4 more
doaj +1 more source
AlphaFold2 predicts protein structures from structural and functional knowledge. Alternatively, ESMFold does the same adopting protein language models. Here, we map available Pfam domains on pairs of models of the human reference proteome computed with ...
Matteo Manfredi +4 more
doaj +1 more source
Germline contamination and leakage in whole genome somatic single nucleotide variant detection
Background The clinical sequencing of cancer genomes to personalize therapy is becoming routine across the world. However, concerns over patient re-identification from these data lead to questions about how tightly access should be controlled.
Dorota H. Sendorek +10 more
doaj +1 more source
Biomanufacturing and Scale‐Up: Pathways to Biochemicals, Biofuels, and Biomaterials
Microbial Biotechnology, Volume 19, Issue 8, August 2026.
Carolina A. Barcelos +6 more
wiley +1 more source
Pathways to cellular supremacy in biocomputing
Synthetic biology uses cells as its computing substrate, often based on the genetic circuit concept. In this Perspective, the authors argue that existing synthetic biology approaches based on classical models of computation limit the potential of ...
Lewis Grozinger +9 more
doaj +1 more source
Pathway-based subnetworks enable cross-disease biomarker discovery
Accurate and actionable biomarkers that integrate diverse molecular, functional and clinical information hold great promise in precision medicine. Here, the authors develop SIMMS, a method for pathway-based cross-disease biomarker discovery.
Syed Haider +24 more
doaj +1 more source
Criticality in Biocomputation.
Complexity in biological computation is one of the recognised means by which biological systems manage to function in a complex chaotic world. The ability to function and solve problems irrespective of scale and relative complexity, including higher-order interactions, is essential to the efficacy of biological systems. However, it has been unclear how
openaire +2 more sources
Engineering multicellular consortia, where information processing is distributed across specialized cell types, offers a promising strategy for implementing sophisticated biocomputing systems. However, a major challenge remains in establishing orthogonal
Hadiastri Kusumawardhani +3 more
doaj +1 more source
CoCoNat: A Deep Learning–Based Tool for the Prediction of Coiled-coil Domains in Protein Sequences
Coiled-coil domains (CCDs) are structural motifs observed in proteins in all organisms that perform several crucial functions. The computational identification of CCD segments over a protein sequence is of great importance for its functional ...
Matteo Manfredi +3 more
doaj +1 more source

