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Case study · Structure-based drug analysis

Imatinib Docking Against an AlphaFold ABL1 Model

The workflow retrieved imatinib, summarized rule-based ADMET properties, selected an fpocket site on an AlphaFold ABL1 model, and generated ten rigid-receptor Vina poses. Scores are treated as ranking heuristics, not binding affinity or potency.

Homo sapiensImatinibUniProt P00519fpocket + AutoDock Vina

Original 15-page session report · PDF · 1.1 MB

At a glance

A computational docking workflow with a deliberately narrow interpretation

The receptor is an AlphaFold ABL1 monomer, not an experimental imatinib-bound structure or a fusion-specific BCR–ABL complex. The output ranks poses within this setup and does not validate binding.

CompoundPubChem CID 5291
ReceptorAlphaFold ABL1
Poses10
Best Vina score−9.4 kcal/mol
01 / Scientific context

Can an automated workflow generate plausible imatinib poses in an ABL1 pocket?

Imatinib targets the ABL kinase domain clinically, but this session used the AlphaFold model for UniProt P00519. It did not model the BCR fusion partner or the experimentally observed inactive DFG-out conformation.

Within a fixed AlphaFold ABL1 receptor and selected fpocket site, what poses and Vina scores are generated for imatinib, and how do they overlap known contact residues?
LigandImatinib; PubChem CID 5291
ReceptorAlphaFold ABL1, UniProt P00519
Pocket selectionfpocket with residue-overlap review
DockingAutoDock Vina 1.1.2; exhaustiveness 32; 10 poses
Search box25 Å × 25 Å × 25 Å
02 / Analysis workflow

Compound retrieval, ADMET summary, structure audit, pocket selection, and docking

Retrieve compoundPubChem structure and physicochemical properties were recorded for imatinib.
Summarize ADMETRule-based filters and heuristic solubility, CYP, hERG, and QED flags were generated.
Retrieve receptorThe AlphaFold ABL1 model was downloaded and per-residue confidence inspected.
Select a pocketfpocket candidates were compared with a 39-residue reference contact list; the selected site overlapped 12 residues.
Dock and exportA rigid receptor and prepared ligand were docked with Vina; ten poses and logs were saved.
Scoring boundaryVina scores are useful for ranking poses under one protocol. They are not experimental free energies and should not be converted into potency claims.
03 / Results

Ten poses scored from −8.8 to −9.4 kcal/mol in the selected pocket

Docking range

The ten Vina poses ranged from −8.8 to −9.4 kcal/mol.

Pocket overlap

The selected fpocket site overlapped 12 of 39 reference contact residues.

Rule filters

Imatinib passed four of five listed drug-likeness filters; the Ghose filter failed.

Heuristic flags

Low solubility, moderate CYP/hERG concern, and QED 0.389 were reported.

Rule-based ADMET and drug-likeness profile for imatinib
Figure 1. Rule-based property profile. These filters are screening heuristics and do not substitute for measured pharmacokinetics or safety data.
Distribution and summary of ten imatinib docking poses
Figure 2. Vina docking results. The narrow score range ranks poses generated by this specific rigid-receptor setup.
Summary diagram of the imatinib compound-to-docking workflow
Figure 3. Pipeline summary. The session connects compound retrieval, in-silico property checks, structure selection, pocket detection, and docking outputs.
04 / Limitations

The receptor and docking protocol do not reproduce the clinical binding state

  • The receptor is AlphaFold ABL1, not a fusion-specific BCR–ABL complex.
  • The model is not an experimental imatinib-bound DFG-out conformation.
  • Rigid-receptor docking does not sample induced fit or important protein flexibility.
  • The selected pocket only partially overlaps the reference contact set.
  • Vina scores are heuristic and cannot establish affinity, selectivity, residence time, or potency.
  • The ADMET summary is rule based and requires experimental or validated predictive follow-up.
Evidence boundary

This is a pose-generation and workflow demonstration against an ABL1 model. It is not validation of imatinib’s known mechanism and is not a drug-design recommendation.

05 / Reproducibility and outputs

Artifacts recorded in the Pipette session

imatinib_pubchem.csvCompound identifiers and properties
imatinib_admet_summary.csvRule-based property flags
AF-P00519-F1.pdbAlphaFold ABL1 receptor model
fpocket_results.csvCandidate pocket scores
selected_pocket.jsonSelected coordinates and residue overlap
poses_all.sdfTen exported docking poses
Original Pipette session report15-page PDF · 1.1 MB · generated March 4, 2026. The HTML article is the primary case study; the PDF is the preserved session record.

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