Evidence map›Paper›PMID 36633073›Full record

ReviewSe pu = Chinese journal of chromatography2023

[Advances in applications of activity-based chemical probes in the characterization of amino acid reactivities].

Jiaying Li, Guosheng Wang, Mingliang Ye, Hongqiang Qin

Open access · greenAbstract readReviewEnglish Abstract
In one paragraph

Review in Se pu = Chinese journal of chromatography, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 39% of its field
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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
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  4. Article
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 at 1 institution in 1 country.

Jiaying Li1. College of Chemical Engineering, Shenyang University of Chemical Technology, Shenyang 110142, China;2. CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.
Guosheng Wang1. College of Chemical Engineering, Shenyang University of Chemical Technology, Shenyang 110142, China.
Mingliang Ye2. CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.
Hongqiang Qin1. College of Chemical Engineering, Shenyang University of Chemical Technology, Shenyang 110142, China;2. CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.
Dalian Institute of Chemical Physics · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The discovery of novel drug targets enhances the development of novel drugs, and the discovery of novel target proteins depends on highly accurate high-throughput methods of analyzing drug-protein interactions. Protein expression levels, spatial localization, and structural differences directly affect pharmacodynamics. To date, >20000 proteins have been discovered in the human proteome by the genome and proteome projects via gene and protein sequencing. Understanding the biological functions of proteins is critical in identifying and regulating biological processes, with most remaining unidentified. Until recently, >85% of proteins were considered undruggable, mainly because of the lack of binding pockets and active sites targeted by small molecules. Therefore, characterization of the reactive sites of amino acids based on proteomic hierarchy is the key to novel drug design. Recently, with the rapid development of mass spectrometry (MS), the study of drug-target protein interactions based on proteomics technology has been considerably promoted. Activity-based protein profiling (ABPP) is an active chemical probe-based method of detecting functional enzymes and drug targets in complex samples. Compared with classical proteomics strategies, ABPP is based mainly on protein activity. It has been successfully utilized to characterize the activities of numerous protease families with crucial biological functions, such as serine hydrolases, protein kinases, glycosidases, and metalloenzymes. It has also been used to identify key enzymes that are closely related to diseases and develop covalent inhibitors for use in disease treatment. The technology used in proteome analysis ranges from gel electrophoresis to high-throughput MS due to the progress of MS technology. ABPP strategies combined with chemical probe labeling and quantitative MS enable the characterization of amino acid activity, which may enhance the discovery of novel drug targets and the development of lead compounds. Amino acid residues play critical roles in protein structures and functions, and covalent drugs targeting these amino acids are effective in treating numerous diseases. There are 20 main types of natural amino acids, with different reactivities, in the proteins in the human body. In addition, the proteins and amino acids are affected by the spatial microenvironment, leading to significant differences in their spatial reactivities. The key in evaluating the reactivities of amino acids via ABPP is to select those with high reactivities. The core of the ABPP strategy is the use of chemical probes to label amino acid sites that exhibit higher activities in certain environments. The activity-based probe (ABP) at the core of ABPP consists of three components: reactive, reporter groups and a linker. The reactive group is the basis of the ABP and anchors the drug target via strong forces, such as covalent bonds. The reaction exhibits a high specificity and conversion rate and should display a good biocompatibility. Activity probes based on different amino acid residues have been developed, and the screening of amino acid activity combined with isotope labeling is a new focus of research. Currently, different types of ABPs have been developed to target amino acids and characterize amino acid reactivity, such as cysteine labeled with an electrophilic iodoacetamide probe and lysine labeled with activated esters. ABPP facilitates the discovery of potentially therapeutic protein targets, the screening of lead compounds, and the identification of drug targets, thus aiding the design of novel drugs. This review focuses on the development of ABPP methods and the progress in the screening of amino acid reactivity using ABPs, which should be promising methods for use in designing targeted drugs with covalent interactions.

Indexed as

Amino AcidsProteomicsCysteineHumansLysineProteomeAmino AcidsCysteineLysineProteomeactivity-based protein profilingamino acid reactivitychemical probedrug target

Identifiers

PMID36633073
PMCPMC9837674
OpenAlexW4315754118

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.