Latest Research in Bioinformatics and Genomic Networks

17 research papers · 2026 median publication year

Top Research Topics in Bioinformatics and Genomic Networks

Highest-Cited Papers

  1. ESpma : A method for assessing biological/non‐biological interfaces using point‐clouds‐based structural features and protein language models
  2. Graph Matching Relaxations and Amortization for Supervised Graph Prediction
  3. Synthesizing State-of-the-Art Structure Predictions from Soup of Co-folding Models
  4. Task- and dataset-specific information in protein language models
  5. Protein Language Model Embeddings Recover Evolutionary and Functional Organization Across the Ras Superfamily
  6. General Framework of Structural Folding and Unfolding Intelligence
  7. General Framework of Structural Folding and Unfolding Intelligence
  8. COCaDA-web: an interactive web server for exploratory analysis of interatomic contacts in proteins
  9. Transfer learning with attention-enhanced deep neural networks for plant enzyme classification using UniProt protein embeddings
  10. Protein folding as a configurational reconstruction: Bio-epistemic application of the General Epistemic Dispersion Theory to adult human hemoglobin
  11. SymFold: Synergizing Evolutionary and Structural Priors for Accurate Protein Inverse Folding
  12. Semi-supervised Retrieval of Functional Residues Through the Integration of Protein Language Models and Gene Ontology Data
  13. Dark energy: the cost of function in protein evolution
  14. Predicting Protein Aggregation Using Artificial Intelligence
  15. Unlocking Multimodal Protein Language Models at Inference Time
  16. DHST: A Deep Hybrid Structure–Topology Framework for Accurate Protein Function Prediction
  17. Distinct Molten‐Globule Conformations in an Interacting Protein Domain Resolved by 19 F NMR of Fluoroproline Residues
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L3 Region - - 2026 Sep Q3

Bioinformatics and Genomic Networks

17 papers

Top Topics (10)

Bioinformatics and Genomic Networks4
Biomolecules2
Graph Theory and Algorithms2
Protein Structure and Dynamics2
Machine Learning1
Machine Learning1
Genomics and Rare Diseases1
Biotin and Related Studies1
Artificial Intelligence1
Machine Learning in Bioinformatics1

Top Publications (17)

1.ESpma : A method for assessing biological/non‐biological interfaces using point‐clouds‐based structural features and protein language models2.Graph Matching Relaxations and Amortization for Supervised Graph Prediction3.Synthesizing State-of-the-Art Structure Predictions from Soup of Co-folding Models4.Task- and dataset-specific information in protein language models5.Protein Language Model Embeddings Recover Evolutionary and Functional Organization Across the Ras Superfamily6.General Framework of Structural Folding and Unfolding Intelligence7.General Framework of Structural Folding and Unfolding Intelligence8.COCaDA-web: an interactive web server for exploratory analysis of interatomic contacts in proteins9.Transfer learning with attention-enhanced deep neural networks for plant enzyme classification using UniProt protein embeddings10.Protein folding as a configurational reconstruction: Bio-epistemic application of the General Epistemic Dispersion Theory to adult human hemoglobin11.SymFold: Synergizing Evolutionary and Structural Priors for Accurate Protein Inverse Folding12.Semi-supervised Retrieval of Functional Residues Through the Integration of Protein Language Models and Gene Ontology Data13.Dark energy: the cost of function in protein evolution14.Predicting Protein Aggregation Using Artificial Intelligence15.Unlocking Multimodal Protein Language Models at Inference Time16.DHST: A Deep Hybrid Structure–Topology Framework for Accurate Protein Function Prediction17.Distinct Molten‐Globule Conformations in an Interacting Protein Domain Resolved by 19 F NMR of Fluoroproline Residues
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