Large-scale identification of PARP7 inhibitors <i>via</i> computational modeling and simulation

Authors

Xiaochen Yang
Dan Li (ORCID: https://orcid.org/0000-0003-3461-5751)
Baolin Liu (ORCID: https://orcid.org/0000-0003-3761-5896)

Institutions

University of Shanghai for Science and Technology (CN)
Peng Cheng Laboratory (CN)

Publication Details

Journal: New Journal of Chemistry
Published: 2025-01-01
DOI: https://doi.org/10.1039/d5nj02053k
Primary Topic: PARP inhibition in cancer therapy
Type: article
Field-Weighted Citation Impact: 0.00

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article

Large-scale identification of PARP7 inhibitors via computational modeling and simulation

Xiaochen Yang, Dan Li, Baolin Liu

Jan 1, 2025

New Journal of Chemistry

PARP inhibition in cancer therapy

article

Large-scale identification of PARP7 inhibitors via computational modeling and simulation

Xiaochen Yang, Dan Li, Baolin Liu

January 1, 2025article en

Abstract

No abstract available for this paper.

New Journal of ChemistryVol. 49(37)

University of Shanghai for Science and Technology (CN), Peng Cheng Laboratory (CN)

Openalex Percentile: Top 69%

PARP inhibition in cancer therapy

DOI Source OpenAlex

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Large-scale identification of PARP7 inhibitors <i>via</i> computational modeling and simulation — Xiaochen Yang, Dan Li, et al. · New Journal of Chemistry (2025) | TGRS Research Map | TGRS