Evidence map›Paper›PMID 36688834›Full record

ArticleThe journal of physical chemistry letters2023

Path Topology in Molecular and Materials Sciences.

Dong Chen, Jian Liu, Jie Wu, Guo-Wei Wei, Feng Pan, Shing-Tung Yau

Abstract read
In one paragraph

Article in The journal of physical chemistry letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Persistent Stanley-Reisner Theory.Foundations of data science (Springfield, Mo.) · 2026
    Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Persistent Topological Laplacians-A Survey.Mathematics (Basel, Switzerland) · 2025
    Article
  9. Article
  10. Hypernetwork modeling and topology of high-order interactions for complex systems.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Article
  12. Article
  13. CHATGPT FOR COMPUTATIONAL TOPOLOGY.Foundations of data science (Springfield, Mo.) · 2024
    Article
  14. PERSISTENT HYPERDIGRAPH HOMOLOGY AND PERSISTENT HYPERDIGRAPH LAPLACIANS.Foundations of data science (Springfield, Mo.) · 2023
    Article
  15. The metabolomic physics of complex diseases.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
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

6 authors.

Dong ChenSchool of Advanced Materials, Peking University, Shenzhen Graduate School, Shenzhen518055, China.
Jian LiuSchool of Mathematical Sciences, Hebei Normal University, Heibei, 050024, China.
Jie WuYanqi Lake Beijing Institute of Mathematical Sciences and Applications, Beijing101408, China.
Guo-Wei WeiDepartment of Mathematics, Michigan State University, East Lansing, Michigan48824, United States.ORCID 0000-0002-5781-2937
Feng PanSchool of Advanced Materials, Peking University, Shenzhen Graduate School, Shenzhen518055, China.ORCID 0000-0002-8216-1339
Shing-Tung YauYanqi Lake Beijing Institute of Mathematical Sciences and Applications, Beijing101408, China.

Funding

AI-based platform for predicting emerging vaccine-escape variants and designing mutation-proof antibodiesR01AI164266 · NIAID · UNIVERSITY OF GEORGIA · PI Guowei Wei, YONG-HUI ZHENG · 2022 to 2026
$2.7M
Synergistic integration of topology and machine learning for the predictions of protein-ligand binding affinities and mutation impactsR01GM126189 · NIGMS · MICHIGAN STATE UNIVERSITY · PI WEI, GUOWEI · 2018 to 2021
$1.4M
NIAID NIH HHS R01 AI164266NIGMS NIH HHS R01 GM126189
6 · The paper itself

Abstract

The structures of molecules and materials determine their functions. Understanding the structure and function relationship is the holy grail of molecular and materials sciences. However, the rational design of molecules and materials with desirable functions remains a grand challenge despite decades of efforts. A major obstacle is the lack of an intrinsic mathematical characteristic that attributes to a specific function. This work introduces persistent path topology (PPT) to effectively characterize directed networks extracted from functional units, such as constitutional isomers, cis-trans isomers, chiral molecules, Jahn-Teller isomerism, and high-entropy alloy catalysts. Path homology (PH) theory is utilized to decipher the role of mirror-symmetric sublattices that hinder the formation of periodic unit cells in amorphous solids. Topological perturbation analysis (TPA) is proposed to reveal the critical target in the blood coagulation system. The proposed topological tools can be directly applied to systems biology, omics sciences, topological materials, and machine learning study of molecular and materials sciences.

Identifiers

PMID36688834
PMCPMC10799224

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Registered trials

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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.