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Schrodinger Suites 2025 4 Windows - (8.65 GB) - Printable Version +- Softwarez.Info - Software's World! (https://softwarez.info) +-- Forum: Software Zone (https://softwarez.info/Forum-Software-Zone) +--- Forum: Windows Applications (https://softwarez.info/Forum-Windows-Applications) +--- Thread: Schrodinger Suites 2025 4 Windows - (8.65 GB) (/Thread-Schrodinger-Suites-2025-4-Windows-8-65-GB) |
Schrodinger Suites 2025 4 Windows - (8.65 GB) - Farid - 11-09-2025 ![]() Schrodinger Suites 2025 4 Windows
The software developer SchrΓΆdinger continuously strive to develop scientific solutions that push the boundaries of molecular design and are delighted to share enhanced drug discovery and materials workflows in π SchrΓΆdinger's 2025-4 software release. π Small Molecule Drug Discovery π Platform Environment π Maestro Graphical Interface - One-click deletion of empty project table columns: A single menu action instantly removes all empty property columns from the entire Project Table, decluttering the workspace to allow a clearer focus on relevant data. - "Select Entries in Table" from workspace right-click menu: Right-clicking any atom in the Workspace instantly locates and selects its corresponding entry in the Project Table, eliminating the need for manual searching in large projects. - Maestro Assistant (Beta) enhancements: Maestro Assistant is now more interactive with the addition of a command history, copy-to-clipboard functionality, clearer mode notifications, and a streamlined feedback system. π Binding Site & Structure Analysis π SiteMap - SiteMap now evaluates more sites than requested, returning the requested number of top-scoring sites by SiteScore π Desmond Molecular Dynamics - Energy Decomposition Analysis panel now supports trajectories generated using custom force field parameters π Mixed Solvent MD (MxMD) - Addition of immiscible probes in Mixed Solvent MD to better identify cryptic pockets: Use hydrophobic probes to stabilize transiently exposed pockets in an open conformation to increase their residence time and facilitate cryptic binding site identification π Ligand Preparation π Pharmacophore Modeling - Use 1D similarities to screen against massive virtual spaces defined combinatorically with the combinatorial_explorer workflow (command line only) π Lead Optimization π Ligand alignment - Non macrocycle alignment jobs can run as interactive tasks without submitting a job π Enumeration - Return only Pathfinder retrosynthetic routes that include purchasable starting materials π FEP+ - Added ligand atomic RMSF analysis for RE-FEP calculations π FEP Protocol Builder - Enable separate solvent and complex hot atom rules including None - Enable sampling between OPLS4 and OPLS5 with the new Force Field version parameter π Quantum Mechanics - Predict optical rotation as a function of wavelength - Added support for 18 new double hybrid functionals - Faster simulations with optimized CPU assignments for unbalanced batch jobs and workflows - Employ QRNN, MPNICE and UMA MLFFs from Jaguar interfaces π Medical Chemistry Design π Ligand Designer - Interactive Core Hopping: A new Core Swap workflow supports non-ring cores and enables true core hopping transformations, allowing for the exploration of diverse chemical space directly within an interactive design environment. - Manual attachment point selection for macrocyclization: The newly renamed Macrocyclization workflow allows for the interactive selection of attachment points, providing precise chemical control that focuses linker enumeration on synthetically relevant designs. π De Novo Design - New PDF report for AutoDesigner workflows to record input settings and summarize enumeration and filtering results π Drug Formulations π Crystal Structure Prediction - Expansion of drug formulations applicability with highly accurate Z'=2 polymorph predictions (Beta): Identify stable crystal polymorphs with updated crystal structure prediction capabilities to sample, search and rank confidently π Alternative Modalities π Bifunctional Degraders - Optionally build linkers between the two warheads in both directions when using the "Linkers only" option in the Generate Degrader Ternary Complexes interface - Prioritize ternary complexes for linker design with a new interface to score degrader ternary complexes powered by a validated Metadynamics-based workflow (beta) π Education Content - New Learning Path: T Cell Receptor Engineering - New Tutorial: Enzyme Engineering with BioLuminate - Updated Tutorial: Validating a Protein Free Energy Perturbation Model for Thermostability Predictions for Single Point Mutations (previously "Obtaining Protein Free Energy Perturbation Thermostability Predictions for Single Point Mutations") - Updated Tutorial: Improving the Thermostability of T4 Lysozyme Using Protein FEP+ Guided Design (previously "Introduction to Protein Thermostability Prediction using Protein FEP+") - Updated Tutorial: Ligand Binding Pose Generation for FEP+ (previously Ligand Binding Pose Prediction for FEP+ using Core-Constrained Docking) - Updated Tutorial: Structure-Based Virtual Screening using Glide π Biologics Drug Discovery - Predict T-Cell Receptor structures using TCRBuilder2 through Maestro (full release) - Improved ability to visualize sequences before and after CDR grafting in Antibody Humanization Panel by replacing the pop-up sequence viewer with the MSV - Streamlined visualization and plotting of mutation results by updating the mutations chart in the residue scanning results viewer interface - Simpler analysis in the Residue Scanning Viewer by synchronization between chart and table - In MM-GBSA Residue Scanning Viewer interface choose properties to plot on both axis, eg. plot affinity on x and stability on y-axis - Easier setup of MM-GBSA Residue Scanning calculations through synchronization of selection between workspace and table, automatic fit-on selection, and ability to toggle visibility of select columns in property table - New ASPmax protein descriptor capturing the maximum average surface property for aggregation propensity prediction (command line) π GUI for Quantum ESPRESSO Product: Quantum ESPRESSO (QE) Interface - (+DEFECT_FORMATION_ENERGY) Defect Correction: Workflow solution to compute the defect formation energy - Upgrade to Quantum ESPRESSO 7.5 - Support for 3-body dispersion correction - Visualization of d-band center - Support for finite displacement phonon calculations - Reduced disk space usage for phonon calculations - Option to set self-consistency threshold for phonons π MS Surface Product: MS SurfChem - Desorption Enumeration: Active entry shown in the workspace - Desorption Enumeration: Support for enumerating associate desorption products π Microkinetics Product: MS Microkinetics - Option to calculate the degree of selectivity control - Option to plot degree of rate control per species - Option to set pressure schedule per species - Setup for transition state lateness parameter to define lateral interactions - Setup for adsorbate-adsorbate interactions via lateral scaling parameter - Support for saving and loading reaction network files - Support for simplified reaction entry using plain text - Support for loading a microkinetic model from a workspace entry - Support for plotting x-axis in log scale from the viewer panel - User control over absolute and relative error tolerances - Number of unphysical MKM steps displayed in viewer panel π Reactivity Product: MS Reactivity - Nanoreactor: Option to set spin for the final state of elementary reactions - Nanoreactor: Refined setup for metadynamics cavity radius scaled from 0.1 to 1.0 - Nanoreactor: Product chemistry filtered by refined DFT or MLFF - Nanoreactor: Reactant energy marked in the elementary reaction network mode - Nanoreactor: Support for MLFF (UMA) energy refinement for open shell systems - Reaction Network Profiler: Option to sort conformers from refined energy π Advanced Force Field Applications Product: MS FF Applications - Expanded support for MLFF selections in QM- and MD-based workflow solutions - UMA (developed by Meta Platforms Inc.) added as MLFF option in QM-based workflows - (+ENABLE_GRPC_MLFF_DESMOND) UMA (developed by Meta Platforms Inc.) added as MLFF option in MD-based workflows π Transport Calculations via MD simulations Product: MS Transport - Ionic Conductivity: Workflow solution to predict ionic conductivity in liquid electrolyte systems - Viscosity: Option to turn off the SHAKE algorithm (command line) - Viscosity: Support for MLFF π Coarse-Grained (CG) Molecular Dynamics Product: MS CG - Coarse-grained Mapping: Consistent, reusable names for sugar particles - Coarse-grained Mapping: Improved restraint visualization - Coarse-grained Mapping: MARTINI mapping of proteins - Coarse-grained Mapping: MARTINI mapping of monosaccharides - Coarse-grained Mapping: MARTINI mapping of cholesterol - Coarse-grained Mapping: All-atom CMS created as input for CG FF Builder - Coarse-Grained Mapping: Enhanced precision for SMARTS patterns to improve mapping and force field parameter reusability - Coarse-Grained Mapping: Improved UX for the reuse of existing particle types - Coarse-Grained Mapping: Visualization of the mapped system in the workspace - Coarse-Grained Mapping: Use of antifreeze water molecules set by default - CG FF Builder: NpT set as the default ensemble for MARTINI simulations - CG FF Builder: Option to keep proteins rigid during the model building stage - CG FF Builder: Option to set the masses to standard MARTINI particle types - CG FF Builder: Mapping of a small ion-water cluster to a single MARTINI particle - CG FF Builder: Support for the reuse of CG particle types with identical names - CG FF Builder: Support for loading CG mapping output as input π Complex Bilayer Builder Product: MS Complex Bilayer Builder - Complex Bilayer: Model building solution for complex / multi-component bilayers of molecular materials including protein-based membranes - Membrane Analysis: Workflow solution to analyze membrane structural features π Formulation ML Product: MS Formulation ML - Formulation ML: Support for parallel training and predictions of multiple models - Formulation ML Optimization: Improved UX for loading models - Formulation ML Optimization: Option to select random optimization for models - Formulation ML Optimization: Option to stop optimization prior to convergence - Formulation ML Optimization: Option for cost optimization - Formulation ML Optimization: Support for composition constraints with Bayesian optimization - ML Model Manager: Option to export and update descriptors for ingredients - ML Model Manager: Automatic selection for the newly loaded model - ML Model Manager: Access for model names to be edited by user - ML Model Manager: Option to estimate MPO scores on model predictions π Layered Device ML Product: MS Layered Device ML - OLED Device ML: Advanced options for model training - OLED Device ML: Option to export the training set data - OLED Device ML: Support for parallel training and predictions of multiple models - OLED Device ML: Option to use molecular model predictions as descriptors π MS Maestro User Interface - Maestro: Job Monitor to display the cause of failures for failed jobs - Maestro: Ribbon style enabled in the workspace for protein representations π MS Maestro Builders and Tools - Complex Builder: Option to turn on/off IUPAC name assignment for ligands - Complex Builder: Support for building dimers with an atom bridging two metals - Disordered System: Preservation of protein residue information by default - Disordered System: Option to set the system size by the total number of atoms - Materials Science Panel Explorer: GUI to search and list panels by the application, method, chemistry, and product of interest - Meta Workflows: Matched settings for the Brownie stage with the MD Multistage - Optoelectronic Device Designer: Option to import materials data from a file - Optoelectronic Device Designer: Option to export materials and device data - Optoelectronic Device Designer: Option to remove materials from the database - Optoelectronic Device Designer: Plot for numerical energy levels - Optoelectronic Device Designer: Plot for numerical layer thicknesses - Solvate System: Option to specify particle radii for coarse-grained models - Solvate System, Structured Liquid GUI: (+MATSCI_PACKMOL_PBC) Periodic boundary conditions retained when building structures π Classical Mechanics - Cluster Analysis: (+CLUSTER_DENSITY_PROFILE) Radial density profile for clusters - Evaporation: Support for MLFF - Evaporation: Setup for evaporation zone in radial distance from center of mass - Polymer Crosslink: (+POLYMER_CROSSLINK_MODES) Option to select fast crosslinking mode - Thin Plane Shear: Support for MLFF - Thin Plane Shear: Option to use custom MLFF - Umbrella Sampling: User control over potential of mean force (PMF) calculations - Umbrella Sampling: Visualization of probability distribution overlap matrix - Visualize Restraints: Visualization of multiple restraints π Quantum Mechanics - Adsorption Site Finder: Support for MLFF - Bond and Ligand Dissociation: Support for MLFF - QM Multistage: Support for MLFF selection on the Theory tab - Optoelectronic Film Properties: Advanced transition dipole moment analysis with distributions over angle, distance, and depth - Probe Grid Scan: VdW radius used as atomic radius for metal atoms - Probe Grid Scan: Support for scanning open shell systems using MLFF (UMA) π Education Content - New Tutorial: Simulating Complex Protein Solutions - New Tutorial: Creating a Coarse-Grained Model for Protein Formulations - New Tutorial: Building and Analyzing a Complex Lipid Bilayer and Embedding a Membrane Protein - New Tutorial: Ionic Conductivity - New Tutorial: Optimizing Viscosity and Cost in Formulations with Missing Structural Data - New Tutorial: Locating Adsorption Sites on Surfaces - Updated Tutorial: Atomic Layer Deposition - Updated Tutorial: Microkinetic Modeling - Quick Reference Sheet: Materials Science Panel Explorer π Education Content π Life Science - New Learning Path: T Cell Receptor Engineering - New Tutorial: Enzyme Engineering with BioLuminate - Updated Tutorial: Validating a Protein Free Energy Perturbation Model for Thermostability Predictions for Single Point Mutations (previously "Obtaining Protein Free Energy Perturbation Thermostability Predictions for Single Point Mutations") - Updated Tutorial: Improving the Thermostability of T4 Lysozyme Using Protein FEP+ Guided Design (previously "Introduction to Protein Thermostability Prediction using Protein FEP+") - Updated Tutorial: Ligand Binding Pose Generation for FEP+ (previously Ligand Binding Pose Prediction for FEP+ using Core-Constrained Docking) - Updated Tutorial: Structure-Based Virtual Screening using Glide π Materials Science - New Tutorial: Simulating Complex Protein Solutions - New Tutorial: Creating a Coarse-Grained Model for Protein Formulations - New Tutorial: Building and Analyzing a Complex Lipid Bilayer and Embedding a Membrane Protein - New Tutorial: Ionic Conductivity - New Tutorial: Optimizing Viscosity and Cost in Formulations with Missing Structural Data - New Tutorial: Locating Adsorption Sites on Surfaces - Updated Tutorial: Atomic Layer Deposition - Updated Tutorial: Microkinetic Modeling - Quick Reference Sheet: Materials Science Panel Explorer π SchrΓΆdinger Software provide accurate, reliable, and high performance computational technology to solve real-world problems in life science research. It can be used to build, edit, run and analyse molecules. The SchrΓΆdinger-Suite of applications have a graphical user interface called Maestro. Using the Maestro you can prepare your structure for refinement. The following products are available: CombiClide, ConfGen, Core Hopping, Desmond, Epik, Glide, Glide, Impact, Jaguar ( high-performance ab initio package), Liaison, LigPrep, MacroModel, MCPRO+, Phase, Prime, PrimeX, QikProp, QSite, Semi-Empirical, SiteMap, and Strike. SchrΓΆdinger Release 2025-4 | Life Science - New Features SchrΓΆdinger Release 2025-4 | Materials Science - New Features π SchrΓΆdinger, LLC provides scientific software solutions and services for life sciences and materials research, as well as academic, government, and non-profit institutions around the world. It offers small-molecule drug discovery, biologics, materials science, and discovery informatics solutions; and PyMOL, a 3D molecular visualization solution. The company was founded in 1990 and is based in Portland, Oregon with operations in the United States, Europe, Japan, and India. π Owner: SchrΓΆdinger, LLC π Product Name: SchrΓΆdinger Suites π Version: 2025-4 Commercial Version * π Supported Architectures: x64 π Website Home Page : π Languages Supported: english π System Requirements: Windows, Linux, macOs ** π Size: 32.9 Gb * Notes: All workflows that rely on Desmond are not supported on Windows or Mac platforms, they can only be run on Linux. This includes Molecular Dynamics, IFD-MD, FEP+, WaterMap, and a number of Materials Science workflows. GPU machine learning applications such as Active Learning Glide and DeepAutoQSAR on GPU can only be run on Linux. [center]βπ·- - - - -β½ββββ§ β€ββ€ β§ββββΎ - - - -π·β[/center] βοΈ Schrodinger Suites 2025 4 Windows - (8.65 GB) RapidGator Link(s) NitroFlare Link(s) |