Grid-Robust Efficient Neural Interface Model for Universal Molecule Surface Construction from Point Clouds.

Yongxian Wu, Haixin Wei, Qiang Zhu, Ray Luo

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 2 papers.

0numbers the graph read from it

0cells of the map it votes in

2citing 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

2 citing papers in PubMed.

Patch-Based Ray Tracing in NanoShaper Boosts Molecular Surface Computation.Journal of chemical information and modeling · 2026
Article
Grid-Context Convolutional Model for Efficient Molecular Surface Construction from Point Clouds.Journal of chemical theory and computation · 2025
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

4 authors.

Yongxian WuDepartments of Chemical and Biomolecular Engineering, Molecular Biology and Biochemistry, Materials Science and Engineering, and Biomedical Engineering, University of California, Irvine, California 92697, United States.ORCID 0000-0003-1497-2444

Haixin WeiDepartment of Chemistry and Biochemistry, University of California, San Diego, California 92093, United States.

Qiang ZhuDepartments of Chemical and Biomolecular Engineering, Molecular Biology and Biochemistry, Materials Science and Engineering, and Biomedical Engineering, University of California, Irvine, California 92697, United States.ORCID 0000-0002-5612-0728

Ray LuoDepartments of Chemical and Biomolecular Engineering, Molecular Biology and Biochemistry, Materials Science and Engineering, and Biomedical Engineering, University of California, Irvine, California 92697, United States.ORCID 0000-0002-6346-8271

Funding

Multi-scaled Modeling of Electrostatic and Polarization Effects in BiomoleculesR35GM130367 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI RAY LUO · 2019 to 2026

$3.0M

NIGMS NIH HHS R35 GM130367

6 · The paper itself

Abstract

Molecular surfaces play a pivotal role in elucidating the properties and functions of biological complexes. While various surfaces have been proposed for specific scenarios, their widespread adoption faces challenges due to limited efficiency stemming from hand-crafted modeling designs. In this work, we proposed a general framework that incorporates both the point cloud concept and neural networks. The use of matrix multiplication in this framework enables efficient implementation across diverse platforms and libraries. We applied this framework to develop the GENIUSES (

Identifiers

PMID37782231

DOI10.1021/acs.jpclett.3c02176

PMCPMC10577766

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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.