ArticleInternational journal of molecular sciences2019
A Practical Perspective: The Effect of Ligand Conformers on the Negative Image-Based Screening.
Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Building shape-focused pharmacophore models for effective docking screening.Journal of cheminformatics · 2024Article
- Virtual Screening Strategy to Identify Retinoic Acid-Related Orphan Receptor γt Modulators.Molecules (Basel, Switzerland) · 2023Article
- Identification of Potential Cytochrome P450 3A5 Inhibitors: An Extensive Virtual Screening through Molecular Docking, Negative Image-Based Screening, Machine Learning and Molecular Dynamics Simulation Studies.International journal of molecular sciences · 2022Article
- Ligand-Enhanced Negative Images Optimized for Docking Rescoring.International journal of molecular sciences · 2022Article
- Identification of bio-active food compounds as potential SARS-CoV-2 PLpro inhibitors-modulators via negative image-based screening and computational simulations.Computers in biology and medicine · 2022Article
- Optimization of Cavity-Based Negative Images to Boost Docking Enrichment in Virtual Screening.Journal of chemical information and modeling · 2022Article
- Getting Docking into Shape Using Negative Image-Based Rescoring.Journal of chemical information and modeling · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Negative image-based (NIB) screening is a rigid molecular docking methodology that can also be employed in docking rescoring. During the NIB screening, a negative image is generated based on the target protein's ligand-binding cavity by inverting its shape and electrostatics. The resulting NIB model is a drug-like entity or pseudo-ligand that is compared directly against ligand 3D conformers, as is done with a template compound in the ligand-based screening. This cavity-based rigid docking has been demonstrated to work with genuine drug targets in both benchmark testing and drug candidate/lead discovery. Firstly, the study explores in-depth the applicability of different ligand 3D conformer generation software for acquiring the best NIB screening results using cyclooxygenase-2 (COX-2) as the example system. Secondly, the entire NIB workflow from the protein structure preparation, model build-up, and ligand conformer generation to the similarity comparison is performed for COX-2. Accordingly, hands-on instructions are provided on how to employ the NIB methodology from start to finish, both with the rigid docking and docking rescoring using noncommercial software. The practical aspects of the NIB methodology, especially the effect of ligand conformers, are discussed thoroughly, thus, making the methodology accessible for new users.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.