Evidence map›Paper›PMID 41867620›Full record

ArticleACS omega2026

Exploring Trop-2-Nanobody PPI Interactions through Molecular Dynamics Simulations and Biovalidations.

Jin Cheng, Ze-Yu Sun, Zhiyuan Guo, Yixuan Hao, Gavin Hou, Yijin Li, Yuanqiang Wang, Zhiwei Feng, Ying Xue, Li Meng

Abstract read
In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jin ChengSchool of Pharmacy, Jiangsu Vocational College of Medicine, Yancheng 224005, P.R. China.
Ze-Yu SunDepartment of Pharmaceutical Sciences, Computational Chemical Genomics Screening Center, and Pharmacometrics & System Pharmacology PharmacoAnalytics, School of Pharmacy; National Center of Excellence for Computational Drug Abuse Research, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, United States.ORCID https://orcid.org/0009-0002-3227-8923
Zhiyuan GuoYancheng No.1 People's Hospital, Yancheng 224006, P.R. China.
Yixuan HaoDepartment of Pharmaceutical Sciences, Computational Chemical Genomics Screening Center, and Pharmacometrics & System Pharmacology PharmacoAnalytics, School of Pharmacy; National Center of Excellence for Computational Drug Abuse Research, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, United States.
Gavin HouCollege of Engineering, University of Michigan Ann Arbor, Ann Arbor, Michigan 48109, United States.
Yijin LiSchool of Pharmacy, Jiangsu Vocational College of Medicine, Yancheng 224005, P.R. China.
Yuanqiang WangSchool of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing 400054, P.R. China.
Zhiwei FengDepartment of Pharmaceutical Sciences, Computational Chemical Genomics Screening Center, and Pharmacometrics & System Pharmacology PharmacoAnalytics, School of Pharmacy; National Center of Excellence for Computational Drug Abuse Research, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, United States.ORCID https://orcid.org/0000-0001-6533-8932
Ying XueFaculty of Pharmaceutical Sciences, Shenzhen University of Advanced Technology, Shenzhen 518107, China.
Li MengSchool of Pharmacy, Jiangsu Vocational College of Medicine, Yancheng 224005, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transmembrane glycoprotein Trop-2 has garnered significant attention as a potential therapeutic target due to its involvement in various malignancies, including breast, lung, and prostate cancers. Specifically, the exploration of Trop-2-specific antibodies and nanobodies has emerged as a promising avenue for innovative treatment strategies. Despite advancements, a comprehensive understanding of the intricate molecular interactions between Trop-2 and specific nanobodies remains elusive. In this study, molecular dynamics (MD) simulations with MM/GBSA were employed to investigate the binding poses, key residues, and detailed interactions between Trop-2 and three distinct nanobodies (Nb60, Nb65, and Nb108), which will further guide the development of Trop-2-targeting nanobodies. Our findings corroborated the docking results, highlighting the reliability of binding pose 1. Additionally, our simulations elucidated key residues involved in the interaction interface, particularly within the C-terminal cysteine-poor domain (CPD) and an α-helix region (S170-Y185) on Trop-2. Furthermore, we identified the critical role of the complementarity-determining region 3 (CDR3) length and the key residues involved in the binding of nanobodies to Trop-2. Potential key residues predicted by MD simulations guided the redesign of the CDR3 region of Nb60, generating variants Nb-6, Nb-7, and Nb-14. Experimental data showed that alterations in the CDR3 significantly impacted binding affinity, with Nb-7 exhibiting the highest affinity (

Identifiers

PMID41867620
PMCPMC13000607

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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.