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Quantitative evaluation of binding affinity changes upon mutations is crucial for protein engineering and drug design. Machine learning-based methods are gaining increasing momentum in this field. Due to the limited number of experimental data, using a small number of sensitive predictive features is vital to the generalization and robustness of such machine learning methods. Here we introduce a fast and reliable predictor of binding affinity changes upon single point mutation, based on a random forest approach. Our method, iSEE, uses a limited number of interface Structure, Evolution, and Energy-based features for the prediction. iSEE achieves, using only 31 features, a high prediction performance with a Pearson correlation coefficient (PCC) of 0.80 and a root mean square error of 1.41 kcal/mol on a diverse training dataset consisting of 1102 mutations in 57 protein-protein complexes. It competes with existing state-of-the-art methods on two blind test datasets. Predictions for a new dataset of 487 mutations in 56 protein complexes from the recently published SKEMPI 2.0 database reveals that none of the current methods perform well (PCC < 0.42), although their combination does improve the predictions. Feature analysis for iSEE underlines the significance of evolutionary conservations for quantitative prediction of mutation effects. As an application example, we perform a full mutation scanning of the interface residues in the MDM2-p53 complex., (© 2018 The Authors. Proteins: Structure, Function, and Bioinformatics published by Wiley Periodicals, Inc.)

The human XPF-ERCC1 protein complex plays an essential role in nucleotide excision repair by catalysing positioned nicking of a DNA strand at the 5' side of the damage. We have recently solved the structure of the heterodimeric complex of the C-terminal domains of XPF and ERCC1 (Tripsianes et al., Structure 2005;13:1849-1858). We found that this complex comprises a pseudo twofold symmetry axis and that the helix-hairpin-helix motif of ERCC1 is required for DNA binding, whereas the corresponding domain of XPF is functioning as a scaffold for complex formation with ERCC1. Despite the functional importance of heterodimerization, the C-terminal domain of XPF can also form homodimers in vitro. We here compare the stabilities of homodimeric and heterodimeric complexes of the C-terminal domains of XPF and ERCC1. The higher stability of the XPF HhH complexes under various experimental conditions, determined using CD and NMR spectroscopy and mass spectrometry, is well explained by the structural differences that exist between the HhH domains of the two complexes. The XPF HhH homodimer has a larger interaction interface, aromatic stacking interactions, and additional hydrogen bond contacts as compared to the XPF/ERCC1 HhH complex, which accounts for its higher stability., (2007 Wiley-Liss, Inc.)

The proteins Kid and Kis are the toxin and antitoxin, respectively, encoded by the parD operon of Escherichia coli plasmid R1. Kis prevents the inhibition of E. coli cell growth caused by the RNA cleavage activity of Kid. Overproduction of MazE, the chromosome-encoded homologue of Kis, has been demonstrated to neutralize Kid toxicity to a certain extent in the absence of native Kis. Here, we show that a high structural similarity exists between these antitoxins, using NMR spectroscopy. We report about the interactions between Kid and Kis that are responsible for neutralization of Kid toxicity and enhance autoregulation of parD transcription. Native macromolecular mass spectrometry data demonstrate that Kid and Kis form multiple complexes. At Kis:Kid ratios equal to or exceeding 1:1, as found in vivo in a plasmid-containing cell, various complexes are present, ranging from Kid(2)-Kis(2) tetramer up to Kis(2)-Kid(2)-Kis(2)-Kid(2)-Kis(2) decamer. When Kid is in excess of Kis, corresponding to an in vivo situation immediately after loss of the plasmid, the Kid(2)-Kis(2)-Kid(2) heterohexamer is the most abundant species. NMR chemical shift and intensity perturbations in the (1)H (15)N HSQC spectra of Kid and Kis, observed when titrating the partner protein, show that the interaction sites of Kid and Kis resemble those within the previously reported MazF(2)-MazE(2)-MazF(2) complex. Furthermore, we demonstrate that Kid(2)-MazE(2) tetramers can be formed via weak interactions involving a limited part of the Kis-binding residues of Kid. The functional roles of the identified Kid-Kis and Kid-MazE interaction sites and complexes in toxin neutralization and repression of transcription are discussed., ((c) 2007 Wiley-Liss, Inc.)