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Record W3161596153

Structure-based Designing of Inhibitors against Plasmepsins from Plasmodium Falciparum

2020· article· en· W3161596153 on OpenAlexaff
Vandana Mishra, Ishan Rathore, Anagha Arekar, Lakshmi Kavitha Sthanam, R.K. Bedi, Chandan Patel, Anuradha Deshmukh, Huogen Xiao, Swati Patankar, Shamik Sen, Rickey Y. Yada, Alexander Wlodawer, Alla Gustchina, Koushi Hidaka, Prasenjit Bhaumik

Bibliographic record

VenueSSRN Electronic Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicMalaria Research and Control
Canadian institutionsUniversity of British ColumbiaUniversity of Guelph
Fundersnot available
KeywordsPepstatinPlasmodium falciparumBiochemistryZymogenSaquinavirBinding siteChemistryLead compoundBiologyAllosteric regulationActive siteEnzymeProteaseStereochemistryIn vitroVirology
DOInot available

Abstract

fetched live from OpenAlex

The Plasmodium falciparum comprising four vacuolar plasmepsins (PMs) i.e. PMI, PMII, PMIV, and HAP (histo-aspartic protease) which are involved in hemoglobin (Hb) catabolism as well as a non-vacuolar plasmepsin, PMV responsible for virulent proteins export, represent promising targets to combat antimalarial drug resistance. This study reports the first detailed structural analysis and molecular dynamics simulation of PMV as an apoenzyme and its complexes with the PEXEL substrate as well as with the saquinavir inhibitor. The PMV-PEXEL complexed structure shows that the unique positions of Glu179 and Gln222 in PMV provides specificity to the PEXEL substrate consisting arginine at P3 position. The structural analysis also reveals that the S4 binding pocket in PMV contains bulkier residues Ile94, Ala98, Phe370 and Tyr472, that does not allow binding of pepstatin A, a potent inhibitor of most pepsin-like aspartic proteases. Saquinavir shows the highest binding affinity with PMV among the screened inhibitors. The P2 site carrying a flexible group and P3 position that is occupied by a bulky hydrophobic group of the inhibitor is preferred in the PMV substrate binding pocket. Results from the present study will aid in the design of more potent inhibitors of PMV. Further, we have demonstrated for the first time the use of soluble recombinant PMII for structure-guided drug discovery with KNI inhibitors. Compounds used in this study (KNI-10742, 10743, 10395, 10333, and 10343) exhibit nanomolar inhibition against PMII and are also effective in blocking the activities of PMI and PMIV with the low nanomolar Ki values. The high resolution crystal structures of PMII–KNI inhibitor complexes reveal interesting features modulating their differential potency. The alkylamino analog, KNI-10743, shows intrinsic flexibility at the P2 position that potentiates its interactions with Asp132, Leu133, and Ser134. The phenylacetyl tripeptides, KNI-10333 and KNI- 10343, accommodate different ρ-substituents at the P3 phenylacetyl ring that determine the orientation of the ring, thus creating novel hydrogen-bonding contacts. KNI-10743 and KNI-10333 possess significant antimalarial activity, block Hb degradation inside the food vacuole, and show no cytotoxicity on human cells; thus, they can be considered as promising antimalarial drug candidates. Based on our structural data, the novel KNI derivatives have been designed that can be further developed for potential clinical use. We have explored another interesting aspect of antimalarial drug design where we used PMII as a model system to investigate the inhibitory values of six well known HIV-1 protease inhibitors (PIs). These inhibitors block the activity of PMII with the Ki values in the low micromolar range ranging from 0.3-2.4 µM among which ritonavir exhibits the highest inhibition constant of 0.3 µM followed by lopinavir, saquinavir, nelfinavir, and indinavir. To understand the molecular basis of inhibition of PMII by PIs, the crystal structure of PMII in complex with ritonavir was solved. In the complexed structure, we have monitored the flexibility in the terminal P3 group in the inhibitor that can occupy multiple pockets. These results suggest that HIV-1 PIs could be further developed into effective antimalarial drugs that would target multiple PMs.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.248
Teacher spread0.234 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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