Computer-implemented methods of determining protein viscosity

US10762980B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10762980-B2
Application numberUS-201414891906-A
CountryUS
Kind codeB2
Filing dateMay 16, 2014
Priority dateMay 17, 2013
Publication dateSep 1, 2020
Grant dateSep 1, 2020

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Abstract

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Provided herein are high-throughput methods for identifying a candidate antibody based on viscosity of the candiate antibody.

First claim

Opening claim text (preview).

What is claimed is: 1. A method for producing a low-viscosity antibody solution, the method comprising: (a) identifying surface-exposed amino acid residues in tertiary structures of a plurality of antibodies by computing total solvent accessible area (SAA) values for amino acid residues of the antibodies based on partial charge values assigned to side-chain atoms of the antibodies, wherein an amino acid residue is identified as a surface-exposed amino acid residue if it has a SAA of greater than a threshold value; (b) identifying atoms that are within a distance R and belong to a side-chain of an exposed amino acid residues identified in (a); (c) computing an atomic spatial charge map (SCM) value for each atom identified in (b), wherein the atomic SCM value is the sum of partial charges of the atoms identified in (b); (d) computing a SCM score for each of the antibodies based on the atomic SCM values computed in (c); and (e) predicting relative viscosity of each of the antibodies based on the SCM score computed in (d) by comparing the SCM scores computed in (d) to each other, wherein an antibody is predicted to have a low viscosity if the SCM score computed in (d) is lower than the SCM scores of the other antibodies of the plurality; and (f) producing a solution comprising the antibody predicted to have a low viscosity. 2. The method of claim 1 , wherein the tertiary structure of the antibodies is a Fab domain or a Fv domain of the antibody. 3. The method of claim 1 , wherein the partial charge in step (a) is assigned using a software tool selected from CHARMM force field, PropKa, Accelrys, and Schrodinger. 4. The method of claim 1 , wherein the threshold value is 1-50 Å 2 . 5. The method of claim 1 , wherein the distance R is 5-20 Å. 6. The method of claim 4 , wherein the threshold value is 10 Å 2 . 7. The method of claim 5 , wherein the distance R is 10 Å. 8. The method of claim 1 , wherein the atomic SCM value in (c) is computed based on a pH value of greater than or equal to 7. 9. The method of claim 1 , wherein the atomic SCM value in (c) is computed based on a pH value of less than or equal to 5.5. 10. The method of claim 1 , wherein the antibody is a monoclonal antibody. 11. The method of claim 1 , wherein the antibody is an antibody fragment. 12. The method of claim 11 , wherein the antibody fragment is a Fv, Fab, Fab′ or F(ab′)2 fragment.

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Classifications

  • G16B15/00Primary

    ICT specially adapted for analysing two-dimensional [2D] or three-dimensional [3D] molecular structures, e.g. structural or functional relations or structure alignment · CPC title

  • General methods of protein analysis not limited to specific proteins or families of proteins · CPC title

  • Immunoglobulins · CPC title

  • Investigating flow properties of materials, e.g. viscosity, plasticity; Analysing materials by determining flow properties · CPC title

  • Determining flow properties indirectly by measuring other parameters of the system · CPC title

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What does patent US10762980B2 cover?
Provided herein are high-throughput methods for identifying a candidate antibody based on viscosity of the candiate antibody.
Who is the assignee on this patent?
Massachusetts Inst Technology, Novartis Pharma Ag
What technology area does this patent fall under?
Primary CPC classification G16B15/00. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Sep 01 2020 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).