Evidence map›Paper›PMID 36346951›Full record

ArticleThe journal of physical chemistry. A2022

Binding Kinetics Toolkit for Analyzing Transient Molecular Conformations and Computing Free Energy Landscapes.

Talant Ruzmetov, Ruben Montes, Jianan Sun, Si-Han Chen, Zhiye Tang, Chia-En A Chang

Abstract read
In one paragraph

Article in The journal of physical chemistry. A, 2022. 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. Article
  2. 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

6 authors.

Talant RuzmetovDepartment of Chemistry, University of California at Riverside, Riverside, California92521, United States.
Ruben MontesDepartment of Chemistry, University of California at Riverside, Riverside, California92521, United States.ORCID 0000-0001-5881-5868
Jianan SunDepartment of Chemistry, University of California at Riverside, Riverside, California92521, United States.
Si-Han ChenDepartment of Chemistry, University of California at Riverside, Riverside, California92521, United States.
Zhiye TangDepartment of Chemistry, University of California at Riverside, Riverside, California92521, United States.
Chia-En A ChangDepartment of Chemistry, University of California at Riverside, Riverside, California92521, United States.ORCID 0000-0002-6504-8529

Funding

Next-Generation GPU Computing Resource for Simulating Ligand-Protein Binding Kinetics/MechanismR01GM109045 · NIGMS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI CHANG, CHIA-EN · 2014 to 2023
$2.8M
NIGMS NIH HHS R01 GM109045
6 · The paper itself

Abstract

Understanding ligand binding kinetics and thermodynamics, which involves investigating the free, transient, and final complex conformations, is important in fundamental studies and applications for chemical and biomedical systems. Examining the important but transient ligand-protein-bound conformations, in addition to experimentally determined structures, also provides a more accurate estimation for drug efficacy and selectivity. Moreover, obtaining the entire picture of the free energy landscape during ligand binding/unbinding processes is critical in understanding binding mechanisms. Here, we present a Binding Kinetics Toolkit (BKiT) that includes several utilities to analyze trajectories and compute a free energy and kinetics profile. BKiT uses principal component space to generate approximated unbinding or conformational transition coordinates for accurately describing and easily visualizing the molecular motions. We implemented a new partitioning approach to assign indexes along the approximated coordinates that can be used as milestones or microstates. The program can generate input files to run many short classical molecular dynamics simulations and uses milestoning theory to construct the free energy profile and estimate binding residence time. We first validated the method with a host-guest system, aspirin unbinding from β-cyclodextrin, and then applied the protocol to pyrazolourea compounds and cyclin-dependent kinase 8 and cyclin C complexes, a kinase system of pharmacological interest. Overall, our approaches yielded good agreement with published results and suggest ligand design strategies. The computed unbinding free energy landscape also provides a more complete picture of ligand-receptor binding barriers and stable local minima for deepening our understanding of molecular recognition. BKiT is easy to use and has extensible features for future expansion of utilities for postanalysis and calculations.

Indexed as

Molecular Dynamics SimulationKineticsLigandsProtein BindingProtein ConformationThermodynamicsLigands

Identifiers

PMID36346951
PMCPMC10355345

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.