Evidence map›Paper›PMID 41531094›Full record

ArticleJournal of computational chemistry2026

Expanding the Palette of Molecular Fragments for Small Molecule De Novo Design Through Isosteric Swapping.

Steven Pak, Robert C Rizzo

Abstract read
In one paragraph

Article in Journal of computational chemistry, 2026. 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. DOCKweb: a web-based GUI platform for molecular modeling with DOCK6.Journal of computer-aided molecular design · 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

2 authors.

Steven PakDepartment of Pharmacological Sciences, Stony Brook University, New York, USA.
Robert C RizzoDepartment of Applied Mathematics & Statistics, Stony Brook University, New York, USA.ORCID https://orcid.org/0000-0003-0525-6147

Funding

Development, Validation, and Application of Structure-based Tools for Computational Molecular DesignR35GM126906 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI ROBERT C. RIZZO · 2018 to 2026
$3.2M
Chemical Biology Training InterfaceT32GM136572 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI ELIZABETH M BOON, Jessica Chuang Seeliger · 2020 to 2026
$2.9M
NIGMS NIH HHS R35 GM126906NIGMS NIH HHS T32 GM136572NIH HHS R35GM126906NIH HHS T32GM136572
6 · The paper itself

Abstract

Outcomes from fragment-based assembly of small organic molecules are highly dependent on the number and type of fragments available for growth. Here, we present a new chemical searching strategy for the DOCK6 de novo design (DOCK_DN) engine which logically expands the palette of available fragments compared to the current method. Termed DOCK_SWAP, the new routine employs principles of isosteric swapping and a customized library infrastructure (iso-libraries) in which topologically related sidechains, linkers, and scaffolds have been pre-aligned and rank ordered relative to a parent fragment (iso-tables). The primary objectives of the current work are: (I) introduce the DOCK_SWAP infrastructure and algorithms, (II) characterize iso-library expansion outcomes and impact of different alignment and ranking protocols, (III) assess search performance, molecular scores, heterogeneity, and growth path coverage and (IV) evaluate lead refinement. Depending on the protocol, the new iso-libraries are roughly an order of magnitude larger (N = 2197 to 2708) than the existing library (N = 382). Large-scale simulations (N = 3420) across 57 protein-ligand systems, using three different iso-libraries each, confirm that the DOCK_SWAP code base and infrastructure is robust. Although the use of larger DOCK_SWAP iso-libraries come at an increased cost in terms of simulation time, the results highlight the many advantages over the existing DOCK_DN method for design of drug-like ligands with improved complementarity to the sites being targeted.

Indexed as

chemical searchde novo designDOCKDOCK6fragment librariesisosteresisosteric replacementstructure‐based design

Identifiers

PMID41531094
PMCPMC13077708

What OpenQuestion holds

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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.