Evidence map›Paper›PMID 42406155›Full record

ArticleJournal of computer-aided molecular design2026

DOCKweb: a web-based GUI platform for molecular modeling with DOCK6.

Steven Pak, Brock T Boysan, William J Allen, Robert C Rizzo

Abstract read
In one paragraph

Article in Journal of computer-aided molecular design, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Steven PakDepartment of Pharmacological Sciences, Stony Brook University, Stony Brook, NY, 11794, USA.ORCID 0000-0002-9493-0983
Brock T BoysanDepartment of Chemistry, Stony Brook University, Stony Brook, NY, 11794, USA.ORCID 0000-0002-4578-5740
William J AllenTexas Advanced Computing Center, The University of Texas at Austin, Austin, TX, 78758, USA.ORCID 0000-0003-1322-2764
Robert C RizzoDepartment of Applied Mathematics & Statistics, Stony Brook University, Stony Brook, NY, 11794, USA. robert.rizzo@stonybrook.edu.ORCID 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 (student support) T32GM136572
6 · The paper itself

Abstract

Virtual screening (VS) and de novo design (DN) are powerful computational approaches used to identify and refine potential drug-lead candidates against clinically relevant targets. However, many software programs used for VS and DN, including our codebase DOCK6, can be difficult to use and deploy for users lacking experience with command-line environments. To make such tools easier to use, we are developing a full-stack web application, termed DOCKweb, to help streamline the DOCK6 experience for users of all skill levels. As outlined in this work, we employed web-based tools such as React.js and Express.js to develop an online interactive graphical user-interface (GUI), streamlining key setup procedures and submission of DOCK6 calculations. Importantly, the DOCKweb GUI eliminates the need for users to download and compile their own version of the program. Further, calculations submitted through DOCKweb are currently executed at the Texas Advanced Computer Center (TACC) which removes the requirement that users need access to a local supercomputer.

Indexed as

Models, MolecularSoftwareDrug DesignInternetUser-Computer InterfaceComputer-aided drug designDe novo designDOCK6Graphical-user interfaceMolecular modelingVirtual screeningWeb application

Identifiers

PMID42406155
PMCPMC13339845

What OpenQuestion holds

Textmetadata
LicenceTDM
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.