Evidence map›Paper›PMID 42776337›Full record

ReviewMolecular biology reports2026

Targeting snake venom metalloproteinases: structural diversity, molecular pathogenesis and therapeutic interventions.

Jagadeesh Dodakallanavar, Darasaguppe R Harish, Kashinath Hiremath, Ganesh H Sampat, Vishal S Patil, Rashmi K Mahadevamurthy, Sanjay Ugare, Kranthi Kiran Akula, H V Manjunathachar

Abstract readReview
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In one paragraph

Review in Molecular biology reports, 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

9 authors.

Jagadeesh DodakallanavarICMR National Institute of Traditional Medicine, Belagavi, 590010, Karnataka, India.
Darasaguppe R HarishICMR National Institute of Traditional Medicine, Belagavi, 590010, Karnataka, India. harish.dr@icmr.gov.in.ORCID https://orcid.org/0000-0002-3609-549X
Kashinath HiremathICMR National Institute of Traditional Medicine, Belagavi, 590010, Karnataka, India.
Ganesh H SampatICMR National Institute of Traditional Medicine, Belagavi, 590010, Karnataka, India.
Vishal S PatilDepartment of Pharmacology, KLE College of Pharmacy, KLE Academy of Higher Education and Research, Deemed-to-be-University, Belagavi, Karnataka, India.
Rashmi K MahadevamurthyVeterinary College Koila Puttur, Karnataka, 574211 KVAFSU, Puttur, India.
Sanjay UgareDepartment of Pharmacology, KLE College of Pharmacy, KLE Academy of Higher Education and Research, Deemed-to-be-University, Belagavi, Karnataka, India.
Kranthi Kiran AkulaICMR National Institute of Traditional Medicine, Belagavi, 590010, Karnataka, India.
H V ManjunathacharICMR National Institute of Traditional Medicine, Belagavi, 590010, Karnataka, India.

Funding

Indian Council of Medical Research INTR-IM-2024-00238
6 · The paper itself

Abstract

Snake venom Metalloproteinases (SVMPs) are Zn²⁺-dependent endopeptidases categorised under metzincin superfamily and are predominantly found in venom of the "Viperidae" family snakes. They are key mediators of venom-induced pathology with associated tissue damage including haemorrhage and oedema. SVMPs are classified as P-I, P-II, and P-III depending on the domains, each differing in structural complexity and organization. Further, the conserved HEXXHXXGXXH catalytic motif organizes a Zn

Indexed as

MetalloproteasesSnake VenomsAnimalsAntiveninsHumansMolecular Docking SimulationVenomous SnakesAntiveninsMetalloproteasesSnake VenomsCoagulopathyInflammationNanobodiesNatural inhibitorsSmall molecule inhibitorsSnake envenomationSnake venom metalloproteinase

Identifiers

PMID42776337

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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.