Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
August 3, 2021Wiley Interdisciplinary Reviews Computational Molecular Science

Featurization strategies for protein–ligand interactions and their applications in scoring function development

View Full Paper
Ask AI
Bookmark
Share

Authors

GXGuo‐Li XiongKing UniversityCSChao ShenXi'an University of Science and TechnologyZYZiyi YangAnhui University of Science and Technology

Discussion

Loading...

Member takes

Implication

Key Points

Key points are not available for this paper at this time.

Cite This Study

Xiong et al. (2021) studied this question.

synapsesocial.com/papers/6a1e587940bc8a3dd768c962https://doi.org/10.1002/wcms.1567
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Beware of the generic machine learning-based scoring functions in structure-based virtual screening2020 · 93 citations
  2. 2Machine learning in chemoinformatics and drug discovery2018 · 991 citations
  3. 3Improving Docking-Based Virtual Screening Ability by Integrating Multiple Energy Auxiliary Terms from Molecular Docking Scoring2020 · 62 citations
  4. 4Performance of machine-learning scoring functions in structure-based virtual screening2017 · 396 citations
  5. 5Development of a protein–ligand extended connectivity (PLEC) fingerprint and its application for binding affinity predictions2018 · 179 citations