The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Voronota‐LT: Efficient, Flexible, and Solvent‐Aware Tessellation‐Based Analysis of Atomic Interactions
Open accessPublished version of a preprint
Abstract
Understanding molecular interactions is essential in computational chemistry, structural biology, and bioinformatics. Current methods for describing interatomic contacts are often simplistic, neglecting full structural context, or computationally demanding, limiting their practical utility. With rapidly growing structural datasets, there is an urgent need for more descriptive and efficient interaction analysis tools. We present Voronota‐LT, a highly efficient method for computing Voronoi tessellation‐based atom‐atom contact areas within molecular solvent‐accessible surfaces. Voronota‐LT differs fundamentally from the original Voronota method by directly constructing each interatomic contact surface without precomputing global Voronoi diagrams or Delaunay triangulations. This enables fast, parallelizable computations with linear scalability and a possibility for targeted analysis of molecular interfaces. In addition to its high performance, Voronota‐LT comprehensively describes interatomic interactions with full structural context. Voronota‐LT software is open‐source and available as a standalone command‐line application, a web application, a Python library, and a C++ header‐only library at https://www.voronota.com/expansion_lt/ .
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
Evolutionary-scale prediction of atomic level protein structure with a language model
Lin, Z., Akin, H., Rao, R., Hie, B., Zhu, Z., Lu, W., Smetanin, N., Verkuil, R., Kabeli, O., Shmueli, Y., et al. (2022) · doi:10.1101/2022.07.20.500902 · Cited by 5,990
Flagged first, then by citations
Research works printed but not linked: 45
- 10.1515/crll.1908.134.198 · DOI
- 10.1137/0214006 · DOI
- 10.1137/0216006 · DOI
- 10.1002/(SICI)1096-987X(19970715)18:9<1113::AID-JCC1>3.0.CO;2-U · DOI
- 10.1007/11537908_16 · DOI
- 10.1016/j.sbi.2004.03.010 · DOI
- 10.1110/ps.062245906 · DOI
- 10.1021/ci100195t · DOI
- 10.1093/bioinformatics/18.10.1365 · DOI
- 10.1002/prot.25278 · DOI
- 10.1073/pnas.0535768100 · DOI
- 10.1021/acs.jmedchem.6b00716 · DOI
- 10.1002/prot.26554 · DOI · Paper page
- 10.1093/bioinformatics/btab118 · DOI
- 10.1088/2632‐2153/abf856 · DOI
- 10.1063/1.474725 · DOI
- 10.1002/pro.4361 · DOI
- 10.1073/pnas.0537830100 · DOI
- 10.1145/2049662.2049665 · DOI
- 10.1002/jcc.21844 · DOI
- 10.1002/jcc.23538 · DOI
- 10.1093/bioinformatics/btab448 · DOI
- 10.1002/prot.26569 · DOI · Paper page
- 10.1002/prot.26609 · DOI
- 10.1002/pmic.202200323 · DOI
- 10.1016/j.cad.2022.103374 · DOI
- 10.1126/science.ade2574 · DOI · Paper page
- Todhunter I., 1863, Spherical Trigonometry, for the Use of Colleges and Schools: With Numerous Examples
- Frenkel D., 2002, Understanding Molecular Simulation: From Algorithms to Applications. Computational Science Series
- 10.1103/PhysRevLett.120.145301 · DOI · Paper page
- 10.1080/08927022.2013.828207 · DOI
- 10.1109/99.660313 · DOI
- 10.1016/j.cpc.2023.108832 · DOI
- 10.1093/nar/gky949 · DOI · Paper page
- 10.1016/j.jmb.2020.11.003 · DOI
- 10.1002/(SICI)1097-0134(19980701)32:1<111::AID-PROT12>3.0.CO;2-H · DOI
- 10.1093/bioinformatics/btw752 · DOI
- 10.1107/S0021889809016690 · DOI
- 10.1038/s41597‐021‐00974‐z · DOI
- 10.1016/S1359‐0278(96)00031‐4 · DOI
- S.Bhattacharjee X.Feng S.Maji et al. “Time Resolution in Cryo‐EM Using a Novel PDMS‐Based Microfluidic Chip Assembly and Its Application to the Study of HflX‐Mediated Ribosome Recycling ”(2023) https://doi.org/10.1101/2023.01.25.525430. · DOI
- 10.1038/s41467‐023‐41444‐x · DOI
- 10.1093/nar/gkab1061 · DOI · Paper page
- 10.1093/nar/gkac1052 · DOI · Paper page
- J.Zhang R.Yuan A.Kryshtafovych et al. “Assessment of Protein Complex Predictions in CASP16: Are We Making Progress? ”(2025) https://doi.org/10.1101/2025.05.29.656875. · DOI
Metadata
- Authors
- Olechnovič, K., & Grudinin, S.
- Affiliations
- Université Grenoble Alpes, CNRS, Grenoble INP, LJK Grenoble France
- Institut polytechnique de Grenoble (FR)
- Venue
- Journal of Computational Chemistry
- Publisher
- Wiley
- Published
- 2025-07-09
- Volume
- 46
- Issue
- 19
- Pages
- e70178-e70178
- ISSN
- 0192-8651 (ISSN-L)
- 1096-987X
- OpenAlex
- W4412123690
- Cited by
- 3
- References
- 2
- Citations by year
- 2026: 3
- FWCI
- 0.91
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Journal of Computational Chemistry (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- PubMed (publishedVersion)
- HAL (submittedVersion, cc-by-nc-nd)
- HAL (submittedVersion, other-oa)
- Funders
- HORIZON EUROPE European Research Council (101059190)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Physical Sciences › Chemistry › Physical and Theoretical Chemistry › Advanced Physical and Chemical Molecular Interactions
- Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Advanced Chemical Physics Studies
- Keywords
- Voronoi tessellation, interatomic interactions, solvent accessible surface, molecular interfaces, protein-protein interaction, linear scalability, molecular structure analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review