Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T14:02:48.567466Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 100 of 185 outbound references and 0 inbound Pith citation observations for arXiv:2507.19805.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T14:02:48.567466Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
100 of 185 outbound references displayed
External citation measurements
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Sequence-based protein-protein interaction prediction and its applications in drug discovery Exploring Protein-Protein Interactions at the Proteome Level,
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Sequence-based protein-protein interaction prediction and its applications in drug discovery Diversity of Protein–Protein Interactions,
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Sequence-based protein-protein interaction prediction and its applications in drug discovery Comprehensive Characterization of Protein–Protein Interactions Perturbed by Dis- ease Mutations,
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Sequence-based protein-protein interaction prediction and its applications in drug discovery Alzheimer Disease,
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Sequence-based protein-protein interaction prediction and its applications in drug discovery Pathological Mechanisms Underlying TDP-43 Driven Neurode- generation in FTLD–ALS Spectrum Disorders,
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Sequence-based protein-protein interaction prediction and its applications in drug discovery Creutzfeldt-Jakob Disease,
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Sequence-based protein-protein interaction prediction and its applications in drug discovery KRAS Mutation: From Undruggable to Druggable in Cancer,
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Sequence-based protein-protein interaction prediction and its applications in drug discovery Illuminating the Dark Protein-Protein Interactome,
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Sequence-based protein-protein interaction prediction and its applications in drug discovery A Protein Interaction Landscape of Breast Cancer,
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Sequence-based protein-protein interaction prediction and its applications in drug discovery Decoding the Functional Impact of the Cancer Genome through Protein–Protein Interactions,
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Sequence-based protein-protein interaction prediction and its applications in drug discovery Exploring Protein–Protein Interactions with Phage Display,
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Sequence-based protein-protein interaction prediction and its applications in drug discovery Global Investigation of Protein–Protein Interactions in Yeast Saccharomyces Cerevisiae Using Re-Occurring Short Polypeptide Sequences,
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Sequence-based protein-protein interaction prediction and its applications in drug discovery SPRINT: Ultrafast Protein-Protein Interaction Prediction of the Entire Human Interactome,
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Sequence-based protein-protein interaction prediction and its applications in drug discovery Cracking the Black Box of Deep Sequence-Based Protein– Protein Interaction Prediction,
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Sequence-based protein-protein interaction prediction and its applications in drug discovery Highly Accurate Protein Structure Prediction with AlphaFold,
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Reference 80
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Observation 7b06b3ff-af99-46c5-8beb-3c0601bef011 · outbound
Sequence-based protein-protein interaction prediction and its applications in drug discovery Multi-Schema Computational Prediction of the Comprehensive SARS-CoV-2 vs. Human Interactome,
Reference 81
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Observation 7be00f42-91fe-4ffb-9fc9-69c13cf708f7 · outbound
Sequence-based protein-protein interaction prediction and its applications in drug discovery Prediction of Human-Virus Protein-Protein Interactions through a Sequence Embedding-Based Machine Learning Method,
Reference 82
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Sequence-based protein-protein interaction prediction and its applications in drug discovery LSTM-PHV: Prediction of Human-Virus Protein– Protein Interactions by LSTM with Word2vec,
Reference 83
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Sequence-based protein-protein interaction prediction and its applications in drug discovery Transfer Learning via Multi-Scale Convolutional Neural Layers for Human–Virus Protein–Protein Interaction Prediction,
Reference 84
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Sequence-based protein-protein interaction prediction and its applications in drug discovery A Multitask Transfer Learning Framework for the Prediction of Virus-Human Protein–Protein Interactions,
Reference 85
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Sequence-based protein-protein interaction prediction and its applications in drug discovery Large-Scale Data Mining Pipeline for Identifying Novel Soybean Genes Involved in Resistance against the Soybean Cyst Nematode,
Reference 86
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Observation 73da9179-c85e-41ea-a72f-a6539b966844 · outbound
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Reference 87
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Sequence-based protein-protein interaction prediction and its applications in drug discovery Topsy-Turvy: Integrating a Global View into Sequence-Based PPI Prediction,
Reference 88
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Sequence-based protein-protein interaction prediction and its applications in drug discovery INTREPPPID—an Orthologue-Informed Quintuplet Network for Cross- Species Prediction of Protein–Protein Interaction,
Reference 89
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Sequence-based protein-protein interaction prediction and its applications in drug discovery SENSE-PPI Reconstructs Interactomes within, across, and between Species at the Genome Scale,
Reference 90
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Sequence-based protein-protein interaction prediction and its applications in drug discovery Species-Specific microRNA Discovery and Target Prediction in the Soybean Cyst Nematode,
Reference 91
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Sequence-based protein-protein interaction prediction and its applications in drug discovery Proteome-Wide Prediction of Lysine Methylation Leads to Identification of H2BK43 Methylation and Outlines the Potential Methyllysine Proteome,
Reference 92
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Sequence-based protein-protein interaction prediction and its applications in drug discovery Machine Learning Prediction of Antimicrobial Peptides,
Reference 93
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Observation bf5bcd3d-2e89-4d65-aef4-39ea4cd53694 · outbound
Sequence-based protein-protein interaction prediction and its applications in drug discovery The Impact of Data Difficulty Factors on Classification of Imbalanced and Concept Drifting Data Streams,
Reference 94
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Sequence-based protein-protein interaction prediction and its applications in drug discovery The Receiver Operating Characteristic Curve Accurately Assesses Imbalanced Datasets,
Reference 95
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Sequence-based protein-protein interaction prediction and its applications in drug discovery Addressing Data Imbalance in Machine Learning: Challenges and Approaches,
Reference 96
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Sequence-based protein-protein interaction prediction and its applications in drug discovery Reciprocal Perspective for Improved Protein-Protein Interaction Prediction,
Reference 97
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Sequence-based protein-protein interaction prediction and its applications in drug discovery An Empirical Framework for Binary Interactome Mapping,
Reference 98
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Sequence-based protein-protein interaction prediction and its applications in drug discovery Estimating the Size of the Human Interactome,
Reference 99
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Sequence-based protein-protein interaction prediction and its applications in drug discovery Prediction of Protein Cellular Attributes Using Pseudo-Amino Acid Composition,
Reference 100
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Observation 57df5d3e-8cba-4df3-83fc-461adba730e4 · outbound
Sequence-based protein-protein interaction prediction and its applications in drug discovery Predicting Protein–Protein Interactions Based Only on Sequences Information,
Reference 101
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