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Record W2013080531 · doi:10.1021/jm900596y

A Combined Crystallographic and Molecular Dynamics Study of Cathepsin L Retrobinding Inhibitors

2009· article· en· W2013080531 on OpenAlexaff
Rajesh T. Shenoy, Shafinaz F. Chowdhury, Sanjiv Kumar, Lissa Joseph, Enrico O. Purisima, J. Sivaraman

Bibliographic record

VenueJournal of Medicinal Chemistry · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCalpain Protease Function and Regulation
Canadian institutionsNational Research Council CanadaBiotechnology Research Institute
FundersBrookhaven National LaboratoryNational University of Singapore
KeywordsChemistryMolecular dynamicsStereochemistryComputational chemistry

Abstract

fetched live from OpenAlex

We report the crystal structures of three noncovalent retrobinding inhibitors in complex with mature cathepsin L up to resolutions of 2.5, 1.8, and 2.5 A, respectively. These inhibitors were Bpa-(Nepsilon-Bpa)Lys-DArg-Tyr-Npe, Bpa-(Nepsilon-Bpa)Lys-DArg-Phe-Npe, and Bpa-MCys-DArg-Phe-Npe, where Bpa = biphenylacetyl and Pea = N-phenylethyl. These were selected to clarify the binding mode of the biphenyl groups in the S' subsites because the addition of a second biphenyl does not improve potency. Examination of the symmetry-related monomers in the crystal structures revealed inhibitor-inhibitor crystal packing interactions. Molecular dynamics simulations were then used to explore the structure and dynamical behavior of the isolated protein-ligand complexes in solution. In the simulations, the backbone biphenyl groups for all three inhibitors ended up in the same location despite having started out in different orientations in the initial crystal structure conformations. The lack of improved potency of the larger inhibitors over the smaller one is attributed to a correspondingly greater entropic cost of binding.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.336

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.004
GPT teacher head0.222
Teacher spread0.218 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2009
Admission routes1
Has abstractyes

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