# Above-Filter Digestion Proteomics Reveals Drug Targets and Localizes Ligand Binding Site

**Authors:** Bohdana Sokolova, Hassan Gharibi, Maryam Jafari, Hezheng Lyu, Silvia Lovera, Massimiliano Gaetani, Amir Ata Saei, Roman A. Zubarev

PMC · DOI: 10.1021/acs.jproteome.5c00927 · 2026-02-07

## TL;DR

A new proteomics method called AFDIP helps identify drug targets and locate where drugs bind to proteins, improving drug research and understanding.

## Contribution

AFDIP introduces a novel proteomics approach that identifies drug targets and binding sites with higher resolution and broader coverage.

## Key findings

- AFDIP identifies drug targets and binding sites within 10 Å of known locations with resolution ≤5 Å for larger proteins.
- AFDIP offers simpler sample preparation and deeper proteome analysis compared to existing proteolysis methods.
- AFDIP complements current techniques by addressing their blind spots and providing structural insights.

## Abstract

Identifying how drugs
interact with proteins is fundamental to
understanding their therapeutic effects and side effects. While numerous
chemical proteomics methods exist for determining protein targets
of drugs, each exhibits “blind spots,” necessitating
complementary approaches. We introduce Above-Filter Digestion Proteomics
(AFDIP), which monitors trypsin digestion rates that decrease at ligand-binding
sites, while potentially increasing elsewhere. Molecular dynamics
simulations showed that these changes relate to backbone flexibility.
Using AFDIP, we identified targets of various drugs and metabolites,
allowing two-dimensional analysis with the drug concentration as the
second dimension. The method identifies binding sites within ≤10
Å of crystallography-determined locations with improved resolution
(≤5 Å) for larger proteins. Compared with existing proteolysis
approaches, AFDIP offers simpler sample preparation, deeper proteome
analysis, and broader sequence coverage. AFDIP addresses the blind
spots of current techniques and provides structural insights, enhancing
the chemical proteomics toolkit.

## Full-text entities

- **Genes:** FKBP2 (FKBP prolyl isomerase 2) [NCBI Gene 2286] {aka FKBP-13, FKBP13, PPIase}, NAA50 (N-alpha-acetyltransferase 50, NatE catalytic subunit) [NCBI Gene 80218] {aka MAK3, NAT13, NAT13P, NAT5, NAT5P, SAN}, ACACA (acetyl-CoA carboxylase alpha) [NCBI Gene 31] {aka ACAC, ACACAD, ACACalpha, ACC, ACC1, ACCA}, DHFR (dihydrofolate reductase) [NCBI Gene 1719] {aka DHFR1, DYR}, CALM1 (calmodulin 1) [NCBI Gene 801] {aka CALML2, CAM2, CAM3, CAMB, CAMC, CAMI}, HMGCS1 (3-hydroxy-3-methylglutaryl-CoA synthase 1) [NCBI Gene 3157] {aka CMYO28, HMGCS}, FKBP5 (FKBP prolyl isomerase 5) [NCBI Gene 2289] {aka AIG6, FKBP51, FKBP54, P54, PPIase, Ptg-10}, NAA15 (N-alpha-acetyltransferase 15, NatA auxiliary subunit) [NCBI Gene 80155] {aka Ga19, MRD50, NARG1, NAT1P, NATH, TBDN}, NAA40 (N-alpha-acetyltransferase 40, NatD catalytic subunit) [NCBI Gene 79829] {aka NAT11, NatD, PATT1, hNatD}, BLNK (B cell linker) [NCBI Gene 29760] {aka AGM4, BASH, BLNK-S, LY57, SLP-65, SLP65}, FKBP4 (FKBP prolyl isomerase 4) [NCBI Gene 2288] {aka FKBP51, FKBP52, FKBP59, HBI, Hsp56, PPIase}, HADH (hydroxyacyl-CoA dehydrogenase) [NCBI Gene 3033] {aka HAD, HADH1, HADHSC, HCDH, HHF4, MSCHAD}, SMG1 (SMG1 nonsense mediated mRNA decay associated PI3K related kinase) [NCBI Gene 23049] {aka 61E3.4, ATX, LIP}, ACOT7 (acyl-CoA thioesterase 7) [NCBI Gene 11332] {aka ACH1, ACT, BACH, CTE-II, LACH, LACH1}, FKBP3 (FKBP prolyl isomerase 3) [NCBI Gene 2287] {aka FKBP-25, FKBP-3, FKBP25, PPIase}, MTOR (mechanistic target of rapamycin kinase) [NCBI Gene 2475] {aka FRAP, FRAP1, FRAP2, RAFT1, RAPT1, SKS}, NAA10 (N-alpha-acetyltransferase 10, NatA catalytic subunit) [NCBI Gene 8260] {aka ARD1, ARD1A, ARD1P, DXS707, LZMS, MAA}
- **Chemicals:** lysine (MESH:D008239), DTT (MESH:D004229), ACN (MESH:C084683), H (MESH:D006859), DMSO (MESH:D004121), Pen (MESH:C058388), FA (MESH:D005492), H2O (MESH:D014867), citric acid (MESH:D019343), CO2 (MESH:D002245), MTX (MESH:D008727), l-glutamine (MESH:D005973), AcCoA (MESH:D000105), Staurosporine (MESH:D019311), lipid (MESH:D008055), Cysteine (MESH:D003545), IAA (MESH:D007460), ammonium hydroxide (MESH:D064753), hydroxylamine (MESH:D019811), macrolide (MESH:D018942), TFA (MESH:D014269), CoA (MESH:D003065), Rapamycin (MESH:D020123), carbohydrate (MESH:D002241), deuterium (MESH:D003903), AFDIP (-), methionine (MESH:D008715), Hydrogen peroxide (MESH:D006861), FK506 (MESH:D016559), P (MESH:D010758), cyclosporine A (MESH:D016572)
- **Species:** Glycyrrhiza (licorice, genus) [taxon 46347], Homo sapiens (human, species) [taxon 9606]
- **Mutations:** Leu22, Leu22Arg
- **Cell lines:** HeLa — Homo sapiens (Human), Human papillomavirus-related endocervical adenocarcinoma, Cancer cell line (CVCL_0030), CCL-2 — Mus musculus (Mouse), Undefined cell line type (CVCL_M023)

## Figures

11 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12973292/full.md

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Source: https://tomesphere.com/paper/PMC12973292