IP Library › Granted Patent US 12,347,524
Granted Patent B2
US 12,347,524 · App. 17/348,074 · Granted Jul 1, 2025

Quantum mechanical X-ray crystallography and Cryo-EM diagnostic for molecules

Inventors: Lance Michael Westerhoff (Annville, PA); Oleh Y. Borbulevych (Bellefonte, PA); Roger Isaac Martin (State College, PA)
Assignee: QuantumBio Inc.
G16B15/00G01N23/20008G01N33/6803G16B20/00G16B20/30G01N2223/304G01N2223/612
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Quick Facts
Patent No.
US 12,347,524
App. No.
17/348,074
Granted
Jul 1, 2025
Kind
B2
Abstract

The invention is a diagnostic which overlays quantum mechanical analysis to x-ray crystallography or Cryo-EM data from one or more molecules, to assess and identify the real world conformation, protonation and solvent effects of one or more moieties in said molecule. This “overlay” occurs by scoring and identifying the protomer/tautomer or conformational states of the moieties using quantum mechanical analysis. The diagnostic results of the present invention accurately identify protein-ligand binding, rendered as an output to a user of a computer in which the x-ray crystallography or Cryo-EM data is analysed with semi-empirical Hamiltonian quantum mechanics.

Claims (12)

1. An analytic method more efficiently to identify conformational, protonation, or solvent effect information from a molecule of interest by using cryogenic electron microscopy (Cryo-EM), comprising the steps of a) selecting an aliquot of a molecule sample as a sample to be diagnosed; b) imaging said molecule by Cryo-EM and collecting a quantity of density data generated thereby; c) assaying Cryo-EM density within said density data and creating from said density data thus assayed a population set containing a plurality of set elements consisting of all or reasonably all possible protomer/tautomer and conformational states of said molecule; d) determining a local ligand strain energy value SE for each of said elements; e) determining ZDD for each of said elements by calculating a difference density Z for each element and compiling ZDD data therefrom: and f) selecting a single element from among said elements that represents the true state of at least one moiety of said molecule by calculating Score i according to the following equation,

Score i ={(( ZDD i −u ZDD )/σ ZDD )+((SE i −μ SE )/σ SE )}

wherein the highest Score i obtained for said population corresponds to the best form “i” that fits both SE and ZDD criteria, so that Score i when output to a user identifies the element from said population that most closely corresponds with said molecule thus diagnosed with increased time efficiency using said low resolution Cryo-EM compared to the same method using atomic resolution x-ray crystallography or Cryo-EM.

2. The method of claim 1 , wherein said molecule further is selected from the group consisting of a molecular ligand and a protein.

3. The method according to claim 1 wherein said best form “i” is selected from the group consisting of a protomer form, a tautomer form and a conformational form.

4. The method according to claim 1 wherein said true state is selected from the group consisting of a protomer/tautomer state and a conformational state.

5. An analytic method to identify conformational, protonation, or solvent effect information from a molecule of interest by using cryogenic electron microscopy (Cryo-EM) having a maximum resolution of 1.1 angstrom, comprising the steps of a) selecting an aliquot of a molecule sample as a sample to be diagnosed; b) imaging said molecule by Cryo-EM having a maximum resolution of 1.1 angstrom and collecting a quantity of Cryo-EM data generated thereby; c) assaying Cryo-EM density within said data and creating from said crystallography data thus assayed a population set containing a plurality of set elements consisting of all or reasonably all possible protomer/tautomer and conformational states of said molecule; d) determining a local ligand strain energy value SE for each of said elements; e) determining ZDD for each of said elements by calculating a difference density Z for each element and compiling ZDD data therefrom: and f) selecting a single element from among said elements that represents the true state of at least one moiety of said molecule by calculating Score i according to the following equation,

Score i ={(( ZDD i −u ZDD )/σ ZDD )+((SE i −μ SE )/σ SE )}

wherein the highest Score i obtained for said population corresponds to the best form “i” that fits both SE and ZDD criteria, so that Score i when output to a user identifies the element from said population that most closely corresponds with said molecule thus diagnosed with increased time efficiency using said low resolution Cryo-EM compared to the same method using atomic resolution x-ray crystallography or Cryo-EM.

6. The method of claim 5 , wherein said molecule further is selected from the group consisting of a molecular ligand and a protein.

7. The method according to claim 5 wherein said best form “i” is selected from the group consisting of a protomer form, a tautomer form and a conformational form.

8. The method according to claim 5 wherein said true state is selected from the group consisting of a protomer/tautomer state and a conformational state.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 21, 2021
From: BORBULEVYCH, OLEH Y; MARTIN, ROGER ISAAC; WESTERHOFF, LANCE MICHAEL
To: QUANTUMBIO INC.
Reel/Frame 057548/0845 →
Continuity (5)
Continuation In Part 16801588 · Feb 26, 2020
Division 15017453 · Feb 5, 2016
Provisional Application 62157787 · May 6, 2015
Provisional Application 62112951 · Feb 6, 2015
Related Publication 20210407620A1 · Dec 30, 2021
References Cited (7)
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US 11688488B2 · Westerhoff · 2023 [cited by examiner]
Elmlund et al. Cryogenic electron microscopy and single-particle analysis. Annu. Rev. Biochem., vol. 84, pp. 499-517. (Year: 2015). [cited by examiner]
Borbulevych et al., Incorporation of the Quantum Chem Pkg DivCon into the PHENIX suite, Acta Cryst, 2011, A67, C593, poster MS58.P06. [cited by applicant]
Craw et al., Solvation & Solid State Effects of the Structure & Energetics of the Tautomers, Journal of Chemical Physics, 1997, vol. 106, pp. 6612-6617. [cited by applicant]
Benedetti E., X-ray Crystallography of Peptides: The Contributions of the Italian Labs. Biopolymers (Peptide Science), V40, pp. 3-44, 1996. [cited by applicant]
Sanders et al., From the Protein's Perspective: Benefits & Challenges of Protein Structure-based Pharmacophore Modeling, Med.Chem.Commun. V3, pp. 28-38, 2012. [cited by applicant]