LigPrep

Versatile ligand preparation tool for structure-based workflows

LigPrep

Overview

LigPrep is a tool to robustly and rapidly prepare high-quality small molecule ligand structures for structure-based virtual screening and other computational workflows. LigPrep works by expanding tautomeric and ionization states, ring conformations, and stereoisomers consistent with the input information to fully capture the relevant states of the molecule in 3D.

Key Capabilities

Check mark icon
Easily translate molecular structures from 1D, 2D to 3D while carefully enumerating structural and chemical possibilities to ensure the accuracy of subsequent modeling predictions
Check mark icon
Build a completely customized ligand library through automatic elimination of compounds that do not meet user-specified criteria
Check mark icon
Optimize output structures to meet the requirements of the downstream simulation workflows
Check mark icon
Efficiently process an entire database at once at a rate of one ligand per second on a single CPU in calculations that can be distributed across many processors in a cluster

Related Products

Learn more about the related computational technologies available to progress your research projects.

FEP+

High-performance free energy calculations for drug discovery

Epik

Rapid pKa and protonation state prediction tool

Jaguar

Quantum mechanics solution for rapid and accurate prediction of molecular structures and properties

Glide

Industry-leading ligand-receptor docking solution

WScore

Advanced docking program that leverages explicit water information in the binding site to provide more accurate scoring of ligands

Phase

An easy-to-use pharmacophore modeling solution for ligand- and structure-based drug design

Prime

A powerful and innovative solution for accurate protein structure prediction

Membrane Permeability

Physics-based solution for rapid and accurate prediction of passive membrane permeability

Publications

Browse the list of peer-reviewed publications using Schrödinger technology in related application areas.

Life Science
FEP augmentation as a means to solve data paucity problems for machine learning in chemical biology
Life Science
AutoDesigner – Core Design, a de novo design algorithm for chemical scaffolds: Application to the design and synthesis of novel selective Wee1 inhibitors
Materials Science
Investigation of drug-polymer miscibility and design of ternary solid dispersions for oral bioavailability enhancement by Hot Melt Extrusion
Materials Science
Comprehensive evaluation of chiral sedaxane with four stereoisomers for risk reduction: Bioactivity, toxicity, and stereoselective dissipation in crop planting systems
Materials Science
Computational prodrug design methodology for liposome formulability enhancement of small-molecule APIs
Materials Science
Antibacterial, Antioxidant, and in silico NADPH Oxidase Inhibition Studies of Essential Oils of Lavandula dentata against Foodborne Pathogens
Materials Science
Construction of Bio-conjugated nano-vesicles using non-ionic surfactants for targeted drug delivery: A computational supported experimental study
Materials Science
Drug-Carrier Miscibility in Solid Dispersions of Glibenclamide and a Novel Approach to Enhance Its Solubility Using an Effervescent Agent
Life Science
Pathfinder-Driven Chemical Space Exploration and Multiparameter Optimization in Tandem with Glide/IFD and QSAR-Based Active Learning Approach to Prioritize Design Ideas for FEP+ Calculations of SARS-CoV-2 PLpro Inhibitors
Materials Science
Structural basis for strychnine activation of human bitter taste receptor TAS2R46

Training & Resources

Online certification courses

Level up your skill set with hands-on, online molecular modeling courses. These self-paced courses cover a range of scientific topics and include access to Schrödinger software and support.

Tutorials

Learn how to deploy the technology and best practices of Schrödinger software for your project success. Find training resources, tutorials, quick start guides, videos, and more.