Evidence map›Paper›PMID 42801773›Full record

ReviewChemistry & biodiversity2026

Deciphering the Medicinal Chemistry Aspects of Akt Inhibitors for the Management of Cancer: Structure-Activity Relationship Frameworks, Landscapes, and Optimization Approaches.

Mayur S Dhangar, Mahesh B Palkar

Abstract readReview
In one paragraph

Review in Chemistry & biodiversity, 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

2 authors.

Mayur S DhangarDepartment of Pharmaceutical Chemistry, Shobhaben Pratapbhai Patel School of Pharmacy & Technology Management, SVKM's NMIMS-Deemed to be University, Mumbai, Maharashtra, India.ORCID https://orcid.org/0009-0008-3029-1079
Mahesh B PalkarDepartment of Pharmaceutical Chemistry, Shobhaben Pratapbhai Patel School of Pharmacy & Technology Management, SVKM's NMIMS-Deemed to be University, Mumbai, Maharashtra, India.ORCID https://orcid.org/0000-0001-7486-5275

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Akt pathway is dysregulated in cancer, leading to proliferation, decreased apoptosis, and metastasis, and hence is a major therapeutic target in cancer treatment. Over the past two decades, substantial advances have been made in the design of potent, selective, and pharmacokinetically optimized Akt inhibitors. This review analyzes recent Akt inhibitors, with particular focus on the structure-activity relationship (SAR) of their heterocyclic core scaffolds and the resulting biological activity. Additional strategies identified in this review that have yielded promising preclinical and clinical candidates include scaffold optimization, conformational restriction, and hybrid design. Special emphasis is given to advanced inhibitors such as capivasertib, ipatasertib, and NTQ1062, which illustrate the influence of pharmacophoric refinement on therapeutic success. In this review, we integrate knowledge of medicinal chemistry and structure to direct the rational design of next generation Akt inhibitors that are safer and more effective for targeted cancer therapy.

Indexed as

Antineoplastic AgentsNeoplasmsProtein Kinase InhibitorsProto-Oncogene Proteins c-aktAnimalsChemistry, PharmaceuticalHumansMolecular StructureStructure-Activity RelationshipAntineoplastic AgentsProtein Kinase InhibitorsProto-Oncogene Proteins c-aktAkt inhibitorscapivasertibheterocyclic scaffoldsstructure–activity relationships

Identifiers

PMID42801773
PMCPMC13616488

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.