Evidence map›Paper›PMID 41451409›Full record

ReviewRSC medicinal chemistry2026

Stereoselective design of amino acid bioconjugates: targeting strategies and physicochemical optimization.

Soma Mandal, Rajat Choudhary, V Badireenath Konkimalla

Abstract readReview
In one paragraph

Review in RSC medicinal chemistry, 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

3 authors.

Soma MandalSchool of Biological Sciences, National Institute of Science Education and Research, HBNI PO- Bhimpur-Padanpur, via- Jatni Khurda Odisha 752050 India.ORCID https://orcid.org/0009-0003-6177-9484
Rajat ChoudharySchool of Biological Sciences, National Institute of Science Education and Research, HBNI PO- Bhimpur-Padanpur, via- Jatni Khurda Odisha 752050 India.ORCID https://orcid.org/0000-0002-4514-8194
V Badireenath KonkimallaSchool of Biological Sciences, National Institute of Science Education and Research, HBNI PO- Bhimpur-Padanpur, via- Jatni Khurda Odisha 752050 India.ORCID https://orcid.org/0000-0003-3699-7490

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Amino acid conjugates are progressively becoming popular as a potent tactic to enhance the pharmacological efficacy of drugs, especially in the areas of cancer and antimicrobial therapy. By taking advantage of the intrinsic biological attributes of amino acids, their conjugates facilitate drug stability, selective accumulation, and enhanced therapeutic efficacies. In particular, the structural analogy of amino acids to physiological substrates enables these conjugates to use solute carrier transporters, commonly overexpressed in tumour cells, which allow for targeted and effective drug delivery. This review considers how amino acid properties like chirality, hydrophobicity and steric bulk can be modulated to maximize drug conjugates. We emphasize important design aspects, such as selection of linkers and coupling reagents, and how these have an impact on drug release and biodistribution. Specific focus is given to d-amino acid, which increases proteolytic stability and bioactivity for both anticancer and antimicrobial uses, and to l-amino acid, which is responsible for receptor recognition, metabolic compatibility and amino acid decorated nanoparticle formulation. The existing drawbacks of antibody-drug conjugates (ADCs) and peptide-drug conjugates (PDCs) are immunogenicity, enzymatic degradation and poor tissue penetration. Amino acid conjugates provide a strong rationale with higher chemical versatility and potential for better pharmacokinetics and less toxicity. By harnessing the insights from chemistry, transporter biology and therapeutic design, this review presents a strategy for the creation of next-generation amino acid conjugates that bridge molecular accuracy to clinical utility.

Identifiers

PMID41451409
PMCPMC12728356

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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.