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Kinases and Phosphatases

Kinases and Phosphatases is an international, peer-reviewed, open access journal on every aspect of post-translational modifications in all biological systems, from bacteria to humans, covering a wide range of disciplines, including biochemistry, molecular biology, structural biology, cell biology, medicinal chemistry, pharmacology, cellular pathology, and clinical disciplines, and is published quarterly online by MDPI.

All Articles (73)

SPINET-KSP: A Multi-Modal LLM-Graph Foundation Model for Contextual Prediction of Kinase-Substrate-Phosphatase Triads

  • Michael Olaolu Arowolo,
  • Marian Emmanuel Okon and
  • Sulaiman Olaniyi Abdulsalam
  • + 2 authors

Reversible protein phosphorylation is an important regulatory mechanism in cellular signalling and disease, regulated by the opposing actions of kinases and phosphatases. Modern computer methods predict kinase–substrate or phosphatase–substrate interactions in isolation and lack specificity for biological conditions, neglecting triadic regulation. We present SPINET-KSP, a multi-modal LLM–Graph foundation model engineered for the prediction of kinase–substrate–phosphatase (KSP) triads with contextual awareness. SPINET-KSP integrates high-confidence interactomes (SIGNOR, BioGRID, STRING), structural contacts obtained from AlphaFold3, ESM-3 sequence embeddings, and a 512-dimensional cell-state manifold with 1612 quantitative phosphoproteomic conditions. A heterogeneous KSP graph is examined utilising a cross-attention Graphormer with Reversible Triad Attention to mimic kinase–phosphatase antagonism. SPINET-KSP, pre-trained on 3.41 million validated phospho-sites utilising masked phosphorylation modelling and contrastive cell-state learning, achieves an AUROC of 0.852 for kinase-family classification (sensitivity 0.821, specificity 0.834, MCC 0.655) and a Pearson correlation coefficient of 0.712 for phospho-occupancy prediction. In distinct 2025 mass spectrometry datasets, it identifies 72% of acknowledged cancer-resistance triads within the top 10 rankings and uncovers 247 supplementary triads validated using orthogonal proteomics. SPINET-KSP is the first foundational model for simulating context-dependent reversible phosphorylation, enabling the targeting of dysregulated kinase-phosphatase pathways in diseases.

22 January 2026

Loaded KSP Triads Data.

Trypanosoma cruzi is the protozoan parasite responsible for Chagas disease, a neglected tropical disease caused by trypanosomatids. Its success as pathogen relies on remarkable metabolic adaptability, stress tolerance, and complex interactions with mammalian hosts. Among the proteins contributing to these processes, nucleoside diphosphate kinases (NDPKs) and arginine kinase (AK) have emerged as central enzymes for parasite metabolism. NDPKs, beyond their canonical role in nucleotide homeostasis, are implicated in DNA repair and oxidative stress responses and are also secreted enzymes. AK, on the other hand, serves as a unique energy-buffering system absent in mammals, supporting parasite growth and adaptation to oxidative and metabolic stresses, including modulation of host immunity. Both enzymes display distinct subcellular localizations all along the parasite and through the life cycle, linking them to multiple roles important for parasite biology and survival. Recent studies have highlighted the impact of interfering these enzymes with several compounds on the viability of the organisms, suggesting new avenues to explore them as drug targets. This review provides a general overview of NDPKs and AK in T. cruzi, aiming to underline their relevance to a broader context of trypanosomatids. Their study not only broadens our understanding of parasite biology but also opens perspectives for applied research, including therapeutic alternatives for Chagas and related diseases.

9 January 2026

Schematic representation of a T. cruzi epimastigote showing the subcellular localization of nucleoside diphosphate kinases and arginine kinase (TcNDPKs and TcAK). These enzymes are distributed throughout the parasite body and can also be secreted, contributing to various cellular processes beyond their canonical metabolic roles, such as stress tolerance and host–parasite interactions. Both kinases represent valuable drug targets for Chagas disease. * TcNDPK3 is expressed exclusively in trypomastigotes.

CK2α and CK2α’, two paralogous members of the human kinome, are catalytic subunits of protein kinase CK2. Together with the regulatory subunit CK2β, they form heterotetrameric holoenzymes. CK2 is the subject of efforts to develop effective and selective inhibitors. For this, secondary binding sites remote from the canonical ATP/GTP cavity are critical. A crystallographic fragment screening with CK2α’ crystals and an established molecular fragment collection was performed to identify new ligands at known or novel sites. It resulted in fourteen CK2α’/fragment structures. Five fragments were found at the CK2β interface of CK2α’ and three fragments at the established αD pocket, which exhibits subtle differences between CK2α and CK2α’; comparative co-crystallisations with CK2α showed that one of them binds to the αD pocket of CK2α’ exclusively. No fragments bound at the substrate-binding region of CK2α’, but a CK2α’ structure with dp10, a decameric section of the substrate-competitive inhibitor heparin, and the indenoindole-type ATP-competitive inhibitor 4w was determined. A comparison with a published CK2α/dp10 structure revealed features consistent with reports about substrate specificity differences between the isoenzymes: dp10 binds to CK2α’ and CK2α with opposite strand orientations, and the local conformations of the isoenzymes in the helix αD region are significantly different.

4 January 2026

Ligand-binding to primary and secondary sites of CK2α’ and CK2α. (a) Surface representation of a CK2α’Cys336Ser/3,4-dichlorophenethylamine (DPA) complex structure [19] (gray: N-terminal domain; yellow: C-terminal domain) with superimposed complex structures of CK2α’Cys336Ser/4p (PDB_ID 7AT9), CK2α’Cys336Ser/ARC-780 (PDB_ID 8Q77), CK2α’Cys336Ser/compound 12 (PDB_ID 9FBI), and CK2α1-335/heparin (PDB_IDs 7B8H and 7B8I); for the superimposed complex structures, only the ligands (in the case of ARC-780, only the middle part, which was defined by electron density) were drawn in order to indicate the various binding sites, as indicated in the figure. (b) Differences between CK2α’ (yellow C-atoms and bonds) and CK2α (magenta-colored C-atoms and bonds) in the hydrophobic shell of the αD pocket: the side chain difference Leu140/Ile141 correlates with a 180-degree rotation of DPA, the αD pocket anchor group of the bivalent inhibitor KN2 [19]. The figure was prepared with PyMOL, version 1.7.0.3 [20].

A Critical Assessment of Computer-Aided Approaches for Identifying FAK Inhibitors

  • Patricia A. Quispe,
  • Daniel Lietha and
  • Martin J. Lavecchia
  • + 1 author

Focal Adhesion Kinase (FAK) is a key regulator of tumor cell migration and survival, and its persistent overexpression in aggressive cancers has motivated ongoing efforts to identify novel small-molecule inhibitors. Despite this interest, progress in discovering new potent scaffolds has been limited. In this work, we applied a multistep computational workflow followed by experimental testing to refine hit selection and reduce the false positives typically associated with docking. DrugBank and several commercial libraries were screened using Exponential Consensus Ranking (ECR) docking, and molecular dynamics simulations were used to assess pose stability and interaction persistence. A subset of predicted binders was then tested in MG-63 (bone cancer) and MDA-MB-231 (breast cancer) cells using cell viability and wound-healing assays, followed by direct autophosphorylation assays with recombinant FAK. Several repurposed compounds, including clofazimine and tafamidis, produced clear dose-dependent effects on cell migration, although their inhibitory activity in biochemical assays remained weak (IC50 values above 100 μM), far from the potency of the reference inhibitor TAE226. Retrospective analysis of the computational workflow showed that standard MM-GBSA calculations did not correlate with these experimental outcomes. However, incorporating explicit water molecules through the NWAT-MMGBSA approach improved agreement with the biochemical data and helped to rationalize the limited affinity observed experimentally. Taken together, the results underline the relevance of explicit solvation in modeling the FAK active site and suggest that refined solvent-aware protocols may provide more reliable guidance for future screening efforts.

18 December 2025

Receiver Operating Characteristic (ROC) curves evaluating the performance of docking programs in the initial screening phase.

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Kinases Phosphatases - ISSN 2813-3757