Evidence map›Paper›PMID 38343938›Full record

ReviewACS omega2024

Amino Acid Chirality: Stereospecific Conversion and Physiological Implications.

Kuladeep Das, Hemalatha Balaram, Kaustuv Sanyal

Abstract readReview
In one paragraph

Review in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Mapping Still Matters: Coarse-Graining with Machine Learning Potentials.Journal of chemical information and modeling · 2026
    Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
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.

Kuladeep DasMolecular Biology and Genetics Unit, Jawaharlal Nehru Centre for Advanced Scientific Research, Jakkur, Bengaluru 560064, India.ORCID https://orcid.org/0000-0001-8733-1416
Hemalatha BalaramMolecular Biology and Genetics Unit, Jawaharlal Nehru Centre for Advanced Scientific Research, Jakkur, Bengaluru 560064, India.ORCID https://orcid.org/0000-0002-8821-1288
Kaustuv SanyalMolecular Biology and Genetics Unit, Jawaharlal Nehru Centre for Advanced Scientific Research, Jakkur, Bengaluru 560064, India.ORCID https://orcid.org/0000-0002-6611-4073

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The absolute configuration dictates the biological role of chiral molecules in the living world. This is best exemplified by all ribosomally synthesized polypeptides having chiral amino acids only in the l-configuration. However, d-amino acids are also associated with various vital biological processes such as peptidoglycan of the bacterial cell wall, ligands for neurotransmitters, molecules involved in signaling, and precursors of metabolites, to name a few. The occurrence of both l- and d-enantiomers of amino acids in the living systems necessitates the presence of enzymes that exhibit stereoselectivity in recognition of substrates. This mini-review summarizes the overall mechanistic insights into the interconversion of l- and d-amino acids by the amino acid racemases. We discuss the structural, mechanistic, and evolutionary relationship of four crucial enzymes that catalyze the oxidative deamination of l- or d-amino acids and their physiological role in microbes and higher organisms. We highlight the physiological implications of d-amino acid oxidase and d-aspartate oxidase in human health and diseases and their applications as drug targets. Finally, we summarize the potential applications of microbially obtained chiral-selective enzymes as biocatalysts and for various industrial purposes.

Identifiers

PMID38343938
PMCPMC10851380

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.