Evidence map›Paper›PMID 36906820›Full record

ArticleProtein science : a publication of the Protein Society2023

QSAR via multisite λ-dynamics in the orphaned TSSK1B kinase.

Xiaorong Liu, Pui Ki Tsang, Matthew B Soellner, Charles L Brooks

Abstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 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.

  1. Sampling the Grand Canonical Ensemble with Multisite λ Dynamics.The journal of physical chemistry letters · 2026
    Article
  2. QSAR via multisite λ-dynamics in the orphaned TSSK1B kinase.Protein science : a publication of the Protein Society · 2023
    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.

Xiaorong LiuDepartment of Chemistry, University of Michigan, Ann Arbor, Michigan, 48109, USA.
Pui Ki TsangDepartment of Chemistry, University of Michigan, Ann Arbor, Michigan, 48109, USA.
Matthew B SoellnerDepartment of Chemistry, University of Michigan, Ann Arbor, Michigan, 48109, USA.
Charles L BrooksDepartment of Chemistry, University of Michigan, Ann Arbor, Michigan, 48109, USA.ORCID 0000-0002-8149-5417

Funding

Theory and Modeling of Biomolecules and their Interactions - Equipment SupplementR35GM130587 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CHARLES L BROOKS · 2019 to 2026
$6.9M
Computational infrastructure for biomedically-driven simulation and modelingS10OD034346 · OD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROOKS, CHARLES L · 2023 to 2023
$593k
NIGMS NIH HHS GM130587NIGMS NIH HHS R35 GM130587NIH HHS S10 OD034346
6 · The paper itself

Abstract

Multisite λ-dynamics (MSλD) is a novel method for the calculation of relative free energies of binding for ligands to their targeted receptors. It can be readily used to examine a large number of molecules with multiple functional groups at multiple sites around a common core. This makes MSλD a powerful tool in structure-based drug design. In the present study, MSλD is applied to calculate the relative binding free energies of 1296 inhibitors to the testis specific serine kinase 1B (TSSK1B), a validated target for male contraception. For this system, MSλD requires significantly fewer computational resources compared to traditional free energy methods like free energy perturbation or thermodynamic integration. From MSλD simulations, we examined whether modifications of a ligand at two different sites are coupled or not. Based on our calculations, we established a quantitative structure-activity relationship (QSAR) for this set of molecules and identified a site in the ligand where further modification, such as adding more polar groups, may lead to increased binding affinity.

Indexed as

Molecular Dynamics SimulationQuantitative Structure-Activity RelationshipEntropyHumansLigandsMaleProtein BindingProtein Serine-Threonine KinasesThermodynamicsLigandsProtein Serine-Threonine Kinasesbinding affinityfree energy calculationsprotein kinasequantitative structure activity

Identifiers

PMID36906820
PMCPMC10031809

What OpenQuestion holds

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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.