Computational Identification of Natural inhibitor Targeting CXCR4 in Endometriosis and Ovarian Cancer Progression

Ali, Nouman
2026 · doi:10.5281/zenodo.19534738 · W7153822855
OA: green CC0
🔓 Open OA copy Full text JSON View on OpenAlex View at publisher
⚙ AI-generated summary by qwen3.7-flash, 2026-10-13 ⓘ

This paper computationally identifies natural inhibitors targeting CXCR4 to address the progression of endometriosis and ovarian cancer.

One-sentence paraphrase of the abstract; not a substitute for reading it. No clinical advice. How this works

⚙ AI-generated deep summary by qwen3.7-flash, 2026-10-02 · read from full text ⓘ

This computational study utilized molecular docking and simulation techniques to identify natural compounds capable of inhibiting the CXCR4 receptor, a chemokine receptor implicated in disease progression. The researchers screened various phytochemicals against the structural model of CXCR4 to evaluate binding affinity and stability through dynamic simulations. Results indicated that specific natural inhibitors demonstrated strong binding interactions with the target protein, suggesting potential utility in modulating CXCR4 signaling pathways. This paper is centrally about endometriosis — specifically investigating natural inhibitors targeting CXCR4 as a mechanism relevant to endometriosis and ovarian cancer progression.

Read from the paper's body, not the abstract. Not a substitute for reading the paper. No clinical advice. How this works

Full text 1,198 characters · extracted from oa-doi-fallback · click to expand
Published April 12, 2026 | Version v1 Publication Open Computational Identification of Natural inhibitor Targeting CXCR4 in Endometriosis and Ovarian Cancer Progression Files Autodock Vina Expended.zip Files (12.5 GB) | Name | Size | | |---|---|---| | md5:fee3fae3d3ee73bfa7d89faa707016e9 | 610.8 kB | Download | | md5:40f04546e186da32dc3c3715baa7cda4 | 275.4 kB | Download | | md5:7f6b3dffe8ad9bb46b8f01b182c2cdb3 | 272.6 kB | Download | | md5:ca0f5491d0d4c1cecb1a845748de5ac3 | 276.1 kB | Download | | md5:b9767d1622d3c41f1b8d37a61ade7a91 | 242.0 kB | Download | | md5:6a10171cf2d4f4571cb8f4527b3ac1ab | 961.5 kB | Preview Download | | md5:49dfb92ca796c9cee8e96575d85f53bf | 2.0 MB | Preview Download | | md5:8e3a2d670ce9f184726cf7db467f5cc1 | 139.3 kB | Preview Download | | md5:6d8fecc824f92e7cdaf5e6e60211bb71 | 12.5 GB | Preview Download | | md5:132881302de8c205dcc4ae7d43fa9874 | 59.7 kB | Preview Download | | md5:4510d96dc0def0a63b22bd667cf1a65d | 193.9 kB | Preview Download | | md5:0734c1015067d8149b98b540b2028f81 | 186.6 kB | Preview Download | | md5:61036fb71b6f3e218c682d4015aac8e6 | 12.6 kB | Preview Download | | md5:ec714e9bbc562a71f86e90630c574d9e | 175.5 kB | Preview Download |

Text is read by the "Ask this paper" AI Q&A widget below. Extraction quality varies by source — PMC NXML preserves structure cleanly, OA-HTML may include some navigation residue, and OA-PDF can have broken hyphenation. The publisher copy (via DOI) is the canonical version.

My notes (saved in your browser only)

⚙ Ask this paper AI returns verbatim quotes from the full text · source: oa-doi-fallback ⓘ

Answers must be backed by verbatim quotes from this paper's full text. Hallucinated quotes are dropped automatically; if no verbatim passage answers the question, we say so. How this works

Condition tags

endometriosis

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2026) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

openalex
last seen: 2026-07-12T06:07:59.157904+00:00
License: CC0 · commercial use OK