Publications by authors named "Leslie A Kuhn"

Article Synopsis
  • Machine learning is revolutionizing biology by predicting structures and activities, but this relies heavily on quality data, feature selection, and validation methods.
  • The chapter outlines protocols for creating robust datasets and comparing predictive classifiers using the scikit-learn library, emphasizing the importance of training data size and avoiding overfitting.
  • A classifier called hotspotter is introduced, which identifies crucial amino acid residues for protein interactions, demonstrating effectiveness with a detailed dataset from alanine scanning mutation sites.
View Article and Find Full Text PDF

In May 2022, JCAMD published a Special Issue in honor of Gerald (Gerry) Maggiora, whose scientific leadership over many decades advanced the fields of computational chemistry and chemoinformatics for drug discovery. Along the way, he has impacted many researchers in both academia and the pharmaceutical industry. In this Epilogue, we explain the origins of the Festschrift and present a series of first-hand vignettes, in approximate chronological sequence, that together paint a picture of this remarkable man.

View Article and Find Full Text PDF
Article Synopsis
  • Researchers demonstrate that machine learning can identify differences in protein states by analyzing the flexibility of ligand binding sites in GPCRs, specifically distinguishing inactive from active states.
  • The study focused on 27 class A GPCR structures (18 inactive, 9 active) in complex with ligands, using graph-theoretic analysis to evaluate the rigidity of helix and loop segments.
  • Key findings reveal that GPCRs bound to agonists exhibit more flexibility near the ligand binding site compared to those with inhibitors, suggesting that the identified flexibility patterns could predict the activity of new ligands in similar protein families.
View Article and Find Full Text PDF

Schlafen proteins are important in cell differentiation and defense against viruses, and yet this family of vertebrate proteins is just beginning to be understood at the molecular level. Here, the three-dimensional architecture and molecular interfaces of human schlafen12 (hSLFN12), which promotes intestinal stem cell differentiation, are analyzed by sequence conservation and structural modeling in light of the functions of its homologs and binding partners. Our analysis shows that the schlafen or divergent AAA ATPase domain described in the N-terminal region of schlafens in databases and the literature is a misannotation.

View Article and Find Full Text PDF

Background/aims: Human enterocytic differentiation is altered during development, fasting, adaptation, and bariatric surgery, but its intracellular control remains unclear. We hypothesized that Schlafen 12 (SLFN12) regulates enterocyte differentiation.

Methods: We used laser capture dissection of epithelium, qRT-PCR, and immunohistochemistry to evaluate SLFN12 expression in biopsies of control and fasting human duodenal mucosa, and viral overexpression and siRNA to trace the SLFN12 pathway in human Caco-2 and HIEC6 intestinal epithelial cells.

View Article and Find Full Text PDF
Article Synopsis
  • Ligand-based virtual screening helps identify bioactive small molecules efficiently, making it easier to focus on promising candidates for further testing.
  • Machine learning techniques can analyze the chemical groups of these compounds to reveal patterns that correlate with biological activity, guiding future molecular selection and design.
  • The described machine learning protocols do not require knowledge of the protein's atomic structure and can be adapted to various datasets, exemplified by their application to a dataset of inhibitor candidates for GPCR-mediated signaling.
View Article and Find Full Text PDF
Article Synopsis
  • Understanding protein-ligand recognition is crucial and parallels the complexity of decoding genetics due to the diverse shapes and chemical groups involved.
  • The study reveals that proteins prefer to donate hydrogen bonds (H-bonds) to ligands and typically avoid groups that can both donate and accept H-bonds, establishing clear matching preferences for chemical interactions.
  • The research led to the development of software tools, Hbind and Protein Recognition Index, that facilitate the analysis of H-bond patterns in protein-ligand complexes, aiding in the prediction of interactions and guiding molecular design.
View Article and Find Full Text PDF
Article Synopsis
  • Only a few studies have successfully discovered inhibitors by screening over a million compounds, mainly due to challenges in finding potent inhibitors and the need for user-friendly screening tools.
  • The Screenlamp toolkit was developed to address these issues, and it effectively screened over 12 million molecules to find potent inhibitors for a specific receptor related to sea lamprey reproduction.
  • The project successfully demonstrated the value of hypothesis-driven screening, identifying multiple active compounds based on key structural features of the target ligand.
View Article and Find Full Text PDF

Forces within the surgical milieu or circulation activate cancer cell adhesion and potentiate metastasis through signaling requiring FAK-Akt1 interaction. Impeding FAK-Akt1 interaction might inhibit perioperative tumor dissemination, facilitating curative cancer surgery without global FAK or AKT inhibitor toxicity. Serial truncation and structurally designed mutants of FAK identified a seven amino acid, short helical structure within FAK that effectively competes with Akt1-FAK interaction.

View Article and Find Full Text PDF
Article Synopsis
  • Researchers explored the genomic basis of wood-feeding in the Asian longhorned beetle, a major invasive species, through genome sequencing, gene expression studies, and enzyme analyses.
  • The study found that this beetle has a unique set of enzymes that enables it to degrade plant cell walls and detoxify chemicals, contributing to its ability to feed on various woody plants.
  • It was concluded that the expansion and specialization of certain genes, including those acquired from fungi and bacteria, play a crucial role in the evolutionary success of wood-feeding beetles and their ability to adapt to different plant species.
View Article and Find Full Text PDF
Article Synopsis
  • Understanding the protein-ligand interface is crucial for biophysics, as it influences biological activity and aids in designing selective molecules.
  • The traditional methods for predicting protein-ligand interactions rely on energy functions and scoring systems, but a new approach called SiteInterlock focuses on the rigidity of the interface to identify binding modes.
  • SiteInterlock shows promising results, often identifying the most rigid near-native binding modes, and outperforms other methods by considering cooperative interactions at the interface.
View Article and Find Full Text PDF

Translocator protein 18 kDa (TSPO) was previously known as the peripheral benzodiazepine receptor (PBR) in eukaryotes, where it is mainly localized to the mitochondrial outer membrane. Considerable evidence indicates that it plays regulatory roles in steroidogenesis and apoptosis and is involved in various human diseases, such as metastatic cancer, Alzheimer's and Parkinson's disease, inflammation, and anxiety disorders. Ligands of TSPO are widely used as diagnostic tools and treatment options, despite there being no clear understanding of the function of TSPO.

View Article and Find Full Text PDF

Identifying physiological ligands is necessary for annotating new protein structures, yet this presents a significant challenge to biologists and pharmaceutical chemists. Here we develop a predictor of cholesterol and cholate binding that works across diverse protein families, extending beyond sequence motif-based prediction. This approach combines SimSite3D site comparison with the detection of conserved interactions in cholesterol/cholate bound crystal structures to define three-dimensional interaction motifs.

View Article and Find Full Text PDF

Although perilipin 2 (Plin2) has been shown to bind lipids with high affinity, the Plin2 lipid binding site has yet to be defined. This is of interest since Plin2's affinity for lipids has been suggested to be important for lipid droplet biogenesis and intracellular triacylglycerol accumulation. To define these regions, mouse Plin2 and several deletion mutants expressed as recombinant proteins and in mammalian cells were assessed by molecular modeling, fluorescence binding, circular dichroic, and fluorescence resonance energy transfer techniques to identify the structural and functional requirements for lipid binding.

View Article and Find Full Text PDF
Article Synopsis
  • Schlafen 3 (Slfn3) plays a crucial role in the differentiation of intestinal cells in both lab settings and living organisms, which is essential for proper gut function.
  • Confocal microscopy and Western blot analysis indicate that Slfn3 primarily functions in the cytoplasm rather than the nucleus, suggesting it activates differentiation through secondary signaling pathways instead of direct transcriptional regulation.
  • The study identifies that the N-terminal region of Slfn3, specifically sequences similar to an aminopeptidase and a P-loop, is key to enhancing promoter activity, advancing the understanding of Slfn3's mechanism of action.
View Article and Find Full Text PDF
Article Synopsis
  • SENSITIVE TO FREEZING 2 (SFR2) is a family I glycosyl hydrolase that has shown galactosyltransferase activity in the model plant Arabidopsis thaliana, which could be leveraged for biocatalysis.
  • Research is focused on how SFR2 evolved to function as a transferase, involving methods like activity assays and molecular modeling to explore its structural and functional relationships.
  • Key findings reveal that, despite its strong conservation with glycosyl hydrolases, SFR2 lacks hydrolase activity and has three specific structural regions (a loop insertion, C-terminal peptide, and adjacent hydrophobic patch) that are essential for its transferase function.
View Article and Find Full Text PDF
Article Synopsis
  • A conserved bile acid site in cytochrome c oxidase (CcO) affects electron transfer and proton uptake, with diverse amphipathic ligands having been shown to bind to it.
  • Current research employs computational methods to identify relevant ligands for this site, including steroids, flavins, and hormones, which interact with specific protein residues involved in binding.
  • Experimental assays demonstrate that certain ligands inhibit the function of CcO, indicating a regulatory role and suggesting similarities in inhibition mechanisms between mammalian and bacterial forms of the enzyme.
View Article and Find Full Text PDF
Article Synopsis
  • The study examines the conformational changes in CcO (cytochrome c oxidase) across different redox states, indicating significant mechanistic implications.
  • High-resolution crystallographic structures were analyzed using computational methods to identify flexible regions and predict low-energy motions within CcO.
  • The findings suggest that CcO undergoes rotational movements impacting proton and oxygen access pathways, revealing potential regulatory mechanisms linked to specific amino acids.
View Article and Find Full Text PDF

A wide range of secondary biological functions have been documented for eukaryotic aminoacyl-tRNA synthetases including roles in transcriptional regulation, mitochondrial RNA splicing, cell growth, and chemokine-like activities. The asparaginyl-tRNA synthetase (AsnRS) of the filarial nematode, Brugia malayi, is a highly expressed excretory-secretory molecule which activates interleukin 8 (IL-8) receptors via extracellular domains that are different from those used by IL-8. Recent success in determining the complete atomic structure of the B.

View Article and Find Full Text PDF

The CBF/DREB1 transcriptional activators are key regulators of plant freezing tolerance. They are members of the AP2/ERF multi-gene family, which in Arabidopsis comprises about 145 members. Common to these proteins is the AP2/ERF DNA-binding domain, a 60-amino-acid fold composed of a three-stranded beta-sheet followed by a C-terminal alpha-helix.

View Article and Find Full Text PDF
Article Synopsis
  • The study explores the challenges of identifying high-affinity compounds for drug screening, comparing traditional protein-ligand and ligand-based scoring methods.
  • A hybrid approach is proposed, where ligand-based scoring ranks docking results selected by protein-ligand scoring, leading to the discovery of new inhibitors for thrombin during tests on nearly 70,000 compounds.
  • The results highlight that different scoring functions significantly influence compound selection, revealing that protein-ligand and ligand-based scoring provide complementary insights into potential drug candidates.
View Article and Find Full Text PDF

Hinge motions are important for molecular recognition, and knowledge of their location can guide the sampling of protein conformations for docking. Predicting domains and intervening hinges is also important for identifying structurally self-determinate units and anticipating the influence of mutations on protein flexibility and stability. Here we present StoneHinge, a novel approach for predicting hinges between domains using input from two complementary analyses of noncovalent bond networks: StoneHingeP, which identifies domain-hinge-domain signatures in ProFlex constraint counting results, and StoneHingeD, which does the same for DomDecomp Gaussian network analyses.

View Article and Find Full Text PDF

Conformational changes of Klebsiella aerogenes urease apoprotein (UreABC)(3) induced upon binding of the UreD and UreF accessory proteins were examined by a combination of flexibility analysis, mutagenesis, and small-angle X-ray scattering (SAXS). ProFlex analysis of urease provided evidence that the major domain of UreB can move in a hinge-like motion to account for prior chemical cross-linking results. Rigidification of the UreB hinge region, accomplished through a G11P mutation, reduced the extent of urease activation, in part by decreasing the nickel content of the mutant enzyme, and by sequestering a portion of the urease apoprotein in a novel activation complex that includes all of the accessory proteins.

View Article and Find Full Text PDF

Protein motion is often the link between structure and function and a substantial fraction of proteins move through a domain hinge bending mechanism. Predicting the location of the hinge from a single structure is thus a logical first step towards predicting motion. Here, we describe ways to predict the hinge location by grouping residues with correlated normal-mode motions.

View Article and Find Full Text PDF