Evidence map›Paper›PMID 42493737›Full record

ReviewChemical biology & drug design2026

Advancing Antiviral Design: Integrating Natural Products, Computation and Targeted Delivery.

Adedayo Ayodeji Lanrewaju, Abimbola Motunrayo Folami, Saheed Sabiu, Feroz Mahomed Swalaha

Abstract readReview
In one paragraph

Review in Chemical biology & drug design, 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

4 authors.

Adedayo Ayodeji LanrewajuDepartment of Biotechnology and Food Science, Faculty of Applied Science, Durban University of Technology, Durban, South Africa.ORCID https://orcid.org/0000-0001-6093-8090
Abimbola Motunrayo FolamiDepartment of Biotechnology and Food Science, Faculty of Applied Science, Durban University of Technology, Durban, South Africa.ORCID https://orcid.org/0000-0001-5862-1465
Saheed SabiuDepartment of Biotechnology and Food Science, Faculty of Applied Science, Durban University of Technology, Durban, South Africa.ORCID https://orcid.org/0000-0001-7209-9220
Feroz Mahomed SwalahaDepartment of Biotechnology and Food Science, Faculty of Applied Science, Durban University of Technology, Durban, South Africa.

Funding

National Research Foundation of South Africa SRUG2204193723South African Medical Research CouncilWater Research Commission K5/C2020-2021-00181
6 · The paper itself

Abstract

The COVID-19 pandemic highlighted the role of rapid viral mutation and global connectivity in accelerating viral emergence and spread, emphasising the necessity for expedited and adaptable antiviral drug discovery and development. Despite ongoing efforts to develop effective, low-toxicity therapeutics, the number of antivirals that have achieved clinical approval remains limited. The shortfall is especially significant in developing countries, where access to new antivirals is limited by high prices, few options, import dependence, unstable supply chains and weak purchasing systems. The challenge is further heightened by the emergence of increasingly drug-resistant variants while vaccines often provide inadequate protection against newly mutated or novel viruses. Consequently, the identification of novel antiviral agents that are both effective and cost-efficient via innovative strategies for antiviral drug discovery is essential to manage and control viral infections. Therefore, this review examines the different challenges associated with conventional antiviral drugs alongside recent strategies in antiviral drug discovery and development, such as the exploitation of plant secondary metabolites with antiviral properties, advanced microscopy technologies, computer-aided drug design, artificial intelligence and machine learning, gene-editing technologies, drug combination therapy and nanotechnology-enhanced drug delivery systems. Additionally, this study proposes a simple decision-focused pathway integrating natural products, computation and targeted delivery to guide candidate prioritisation, optimisation and translation from discovery to implementation. While these emerging strategies offer considerable promise, challenges related to validation, toxicity, scalability and equitable access remain important considerations for successful clinical translation. Future research should therefore integrate complementary technologies to accelerate the development of effective antiviral agents against current and emerging viral threats.

Indexed as

Antiviral AgentsDrug Delivery SystemsSARS-CoV-2COVID-19 Drug TreatmentHumansMachine LearningAntiviral Agentsantiviral drug discoverycomputer‐aided drug designmachine learningplant secondary metabolitestargeted drug delivery

Identifiers

PMID42493737
PMCPMC13396242

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.