Browsing by Author "Greb, Julian"

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    Data for "LignAmb25: A Comprehensive AMBER Force Field Addressing Lignin’s Structural and Chemical Diversity"
    (2026) Lapsien, Marco; Bonus, Michele; Greb, Julian; Gohlke, Holger
    LignAmb25 is a comprehensive force field for lignin molecular dynamics simulations implemented natively within the AMBER package. The force field includes parameters for all common monolignol units (p-coumaryl, coniferyl, caffeyl, and sinapyl alcohol) and their associated linkages (β O4, β 5, β β, β 1, 5 5, 5 O4, α-O4, BDO, and DBDO), along with less commonly encountered units such as tricin, spirodienones, and hydroxystilbenes. This enables simulations of both softwood and hardwood lignin structures with compositions that would be difficult to isolate experimentally. Force field parameters were initially derived from the GAFF2 force field and systematically optimized using quantum mechanical calculations at the ωB97X D4/def2 TZVPP level of theory on conformer ensembles derived via the CREST/CENSO conformational sampling toolchain. Partial atomic charges were derived using the RESP methodology, consistent with AMBER conventions. Experimentally measured crystal structures of lignin simulated with LignAmb25 accurately retain their packing based on calculations of the RMSD and density error compared to the deposited crystal structure, thereby exceeding the performance of the lignin force field for CHARMM. Additionally, LignAmb25 is shown to reliably estimate the enthalpy of vaporization and the absolute hydration free energy of lignin-related compounds. The LignAmb25 force field is provided in two variants: LignAmb25Solo, a standalone version not meant for use with other biomolecular force fields that focuses on accurate modelling of lignin solvent interactions, and LignAmb25HF, a version that is compatible with all other major biomolecular force fields in the AMBER molecular dynamics suite. This includes force fields of the GLYCAM (carbohydrates), ff19SB (proteins), and LIPID (lipids) families, as well as the DNA and RNA force fields routinely used in AMBER. The LignAmb25 force field will be distributed as of AMBER 26.
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    Revised Data for "LignAmb25: A Comprehensive AMBER Force Field Addressing Lignin’s Structural and Chemical Diversity"
    (2026) Lapsien, Marco; Bonus, Michele; Greb, Julian; Gohlke, Holger
    LignAmb25 is a comprehensive force field for lignin molecular dynamics simulations implemented natively within the AMBER package. The force field includes parameters for all common monolignol units (p-coumaryl, coniferyl, caffeyl, and sinapyl alcohol) and their associated linkages (β O4, β 5, β β, β 1, 5 5, 5 O4, α-O4, BDO, and DBDO), along with less commonly encountered units such as tricin, spirodienones, and hydroxystilbenes. This enables simulations of both softwood and hardwood lignin structures with compositions that would be difficult to isolate experimentally. Force field parameters were initially derived from the GAFF2 force field and systematically optimized using quantum mechanical calculations at the ωB97X D4/def2 TZVPP level of theory on conformer ensembles derived via the CREST/CENSO conformational sampling toolchain. Partial atomic charges were derived using the RESP methodology, consistent with AMBER conventions. Experimentally measured crystal structures of lignin simulated with LignAmb25 accurately retain their packing based on calculations of the RMSD and density error compared to the deposited crystal structure, thereby exceeding the performance of the lignin force field for CHARMM. Additionally, LignAmb25 is shown to reliably estimate the enthalpy of vaporization and the absolute hydration free energy of lignin-related compounds. The LignAmb25 force field is provided in two variants: LignAmb25Solo, a standalone version not meant for use with other biomolecular force fields that focuses on accurate modelling of lignin solvent interactions, and LignAmb25HF, a version that is compatible with all other major biomolecular force fields in the AMBER molecular dynamics suite. This includes force fields of the GLYCAM (carbohydrates), ff19SB (proteins), and LIPID (lipids) families, as well as the DNA and RNA force fields routinely used in AMBER. The LignAmb25 force field will be distributed as of AMBER 26.
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    SQLite file for TopCysteineDB: A Cysteinome-wide Database Integrating Structural and Chemoproteomics Data for Cysteine Ligandability Prediction
    (N/A, 2025-04) Bonus, Michele; Greb, Julian; Majmudar, Jaimeen D.; Boehm, Markus; Korczynska, Magdalena; Nazemi, Azadeh; Mathiowetz, Alan M.; Gohlke, Holger
    Development of targeted covalent inhibitors and covalent ligand-first approaches have emerged as a powerful strategy in drug design, with cysteines being attractive targets due to their nucleophilicity and relative scarcity. While structural biology and chemoproteomics approaches have generated extensive data on cysteine ligandability, these complementary data types remain largely disconnected. Here, we present TopCysteineDB, a comprehensive resource integrating structural information from the PDB with chemoproteomics data from activity-based protein profiling experiments. Analysis of the complete PDB yielded 264,234 unique cysteines, while the proteomics dataset encompasses 41,898 detectable cysteines across the human proteome. Using TopCovPDB, an automated classification pipeline complemented by manual curation, we identified 787 covalent cysteines and systematically categorized other functional roles, including metal-binding, cofactor-binding, and disulfide bonds. Mapping residue-wise structural information to sequence space enabled cross-referencing between structural and proteomics data, creating a unified view of cysteine ligandability. For TopCySPAL, a machine learning model was developed, integrating structural features and proteomics data, achieving strong predictive performance (AUROC: 0.964, AUPRC: 0.914) and robust generalization to novel cases. TopCysteineDB and TopCySPAL are freely accessible through a webinterface, TopCysteineDBApp (https://topcysteinedb.hhu.de/), designed to facilitate exploration of cysteine sites across the human proteome. The interface provides an interactive visualization featuring a color-coded mapping of chemoproteomics data onto cysteine site structures and the highlighting of identified peptide sequences. It offers customizable dataset downloads and ligandability predictions for user-provided structures. This resource advances targeted covalent inhibitor design by providing integrated access to previously dispersed data types and enabling systematic analysis and prediction of cysteine ligandability.