Evidence map›Paper›PMID 38668753›Full record

ArticleJournal of chemical information and modeling2024

COSMIC: Molecular Conformation Space Modeling in Internal Coordinates with an Adversarial Framework.

Maksim Kuznetsov, Fedor Ryabov, Roman Schutski, Rim Shayakhmetov, Yen-Chu Lin, Alex Aliper, Daniil Polykovskiy

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Apo2Mol: 3D Molecule Generation via Dynamic Pocket-Aware Diffusion Models.Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence · 2026
    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

7 authors.

Maksim KuznetsovInsilico Medicine Canada Inc., 1250 René-Lévesque Ouest, Suite 3710, Montréal, Québec H3B 4W8, Canada.ORCID 0000-0001-8446-7983
Fedor RyabovInsilico Medicine Hong Kong Ltd., Unit 310, 3/F, Building 8W, Phase 2, Hong Kong Science Park, Pak Shek Kok, New Territories, Hong Kong 999077, China.ORCID 0000-0003-0541-1055
Roman SchutskiInsilico Medicine Hong Kong Ltd., Unit 310, 3/F, Building 8W, Phase 2, Hong Kong Science Park, Pak Shek Kok, New Territories, Hong Kong 999077, China.ORCID 0000-0003-1654-3336
Rim ShayakhmetovInsilico Medicine Canada Inc., 1250 René-Lévesque Ouest, Suite 3710, Montréal, Québec H3B 4W8, Canada.ORCID 0000-0001-5425-9964
Yen-Chu LinInsilico Medicine Taiwan Ltd., Taipei City 110208, Taiwan.ORCID 0000-0002-8933-6007
Alex AliperInsilico Medicine Hong Kong Ltd., Unit 310, 3/F, Building 8W, Phase 2, Hong Kong Science Park, Pak Shek Kok, New Territories, Hong Kong 999077, China.ORCID 0000-0002-4363-0710
Daniil PolykovskiyInsilico Medicine Canada Inc., 1250 René-Lévesque Ouest, Suite 3710, Montréal, Québec H3B 4W8, Canada.ORCID 0000-0002-0899-8368

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fast and accurate conformation space modeling is an essential part of computational approaches for solving ligand and structure-based drug discovery problems. Recent state-of-the-art diffusion models for molecular conformation generation show promising distribution coverage and physical plausibility metrics but suffer from a slow sampling procedure. We propose a novel adversarial generative framework, COSMIC, that shows comparable generative performance but provides a time-efficient sampling and training procedure. Given a molecular graph and random noise, the generator produces a conformation in two stages. First, it constructs a conformation in a rotation and translation invariant representation─

Indexed as

Models, MolecularMolecular ConformationAlgorithmsDrug DiscoveryLigandsLigands

Identifiers

PMID38668753
PMCPMC11094738

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.