Toolkit/LC-MS analysis of fittest binders

LC-MS analysis of fittest binders

Assay Method·Research·Since 2025

Taxonomy: Technique Branch / Method. Workflows sit above the mechanism and technique branches rather than replacing them.

Summary

LC-MS analysis of fittest binders is an assay method used with small combinatorial libraries of self-assembled proteomimetics (SAPs) to identify enriched target binders after affinity selection by liquid chromatography–mass spectrometry. In the cited SAP study, this workflow was applied in the context of target-directed selection from self-assembled PNA-peptide conjugate libraries.

Usefulness & Problems

Why this is useful

This method is useful for deconvoluting which SAP species are enriched after affinity-based selection without requiring individual synthesis and testing of every library member. The available evidence supports its use for identifying binders from small self-assembled proteomimetic libraries, but does not provide broader benchmarking across assay formats or targets.

Source:

An RBD-targeting SAP effectively inhibits SARS-CoV-2 viral entry with an IC50 of 2.8 nM.

Problem solved

It addresses the problem of finding the fittest binders within small combinatorial SAP libraries that are assembled in one operation and then applied directly to target affinity selections. The method links post-selection enrichment to LC-MS identification, enabling binder discovery from mixed self-assembled species.

Source:

An RBD-targeting SAP effectively inhibits SARS-CoV-2 viral entry with an IC50 of 2.8 nM.

Problem links

Need better screening or enrichment leverage

Derived

LC-MS analysis of fittest binders is an assay method used with small combinatorial libraries of self-assembled proteomimetics (SAPs) that can be prepared in one operation and applied directly to affinity selections against a target. The method identifies enriched binders by liquid chromatography–mass spectrometry after selection.

Taxonomy & Function

Implementation Constraints

cofactor dependency: cofactor requirement unknownencoding mode: genetically encodedimplementation constraint: context specific validationoperating role: sensorswitch architecture: uncaging

The method is implemented with self-assembled proteomimetics built from short PNA-peptide conjugates in small combinatorial libraries, followed by affinity selection and LC-MS-based identification of enriched species. The cited study also indicates that SAP affinity can be modulated by toehold displacement of hybridizing PNA strands, which disrupts coiled-coil stabilization and may influence construct design and assay conditions.

The evidence provided is limited to a single 2025 source and does not report independent replication, comparative sensitivity, throughput, false-positive rates, or detailed analytical performance for the LC-MS workflow itself. The allosteric regulation claim pertains to SAP behavior via PNA toehold displacement rather than directly validating the assay method across multiple targets or library types.

Validation

Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication

Supporting Sources

Ranked Claims

Claim 1allosteric regulationsupports2025Source 1needs review

SAP affinity can be allosterically regulated by toehold displacement of the hybridizing PNAs, which disrupts coiled-coil stabilization.

Claim 2allosteric regulationsupports2025Source 1needs review

SAP affinity can be allosterically regulated by toehold displacement of the hybridizing PNAs, which disrupts coiled-coil stabilization.

Claim 3allosteric regulationsupports2025Source 1needs review

SAP affinity can be allosterically regulated by toehold displacement of the hybridizing PNAs, which disrupts coiled-coil stabilization.

Claim 4allosteric regulationsupports2025Source 1needs review

SAP affinity can be allosterically regulated by toehold displacement of the hybridizing PNAs, which disrupts coiled-coil stabilization.

Claim 5allosteric regulationsupports2025Source 1needs review

SAP affinity can be allosterically regulated by toehold displacement of the hybridizing PNAs, which disrupts coiled-coil stabilization.

Claim 6allosteric regulationsupports2025Source 1needs review

SAP affinity can be allosterically regulated by toehold displacement of the hybridizing PNAs, which disrupts coiled-coil stabilization.

Claim 7allosteric regulationsupports2025Source 1needs review

SAP affinity can be allosterically regulated by toehold displacement of the hybridizing PNAs, which disrupts coiled-coil stabilization.

Claim 8allosteric regulationsupports2025Source 1needs review

SAP affinity can be allosterically regulated by toehold displacement of the hybridizing PNAs, which disrupts coiled-coil stabilization.

Claim 9allosteric regulationsupports2025Source 1needs review

SAP affinity can be allosterically regulated by toehold displacement of the hybridizing PNAs, which disrupts coiled-coil stabilization.

Claim 10allosteric regulationsupports2025Source 1needs review

SAP affinity can be allosterically regulated by toehold displacement of the hybridizing PNAs, which disrupts coiled-coil stabilization.

Claim 11allosteric regulationsupports2025Source 1needs review

SAP affinity can be allosterically regulated by toehold displacement of the hybridizing PNAs, which disrupts coiled-coil stabilization.

Claim 12allosteric regulationsupports2025Source 1needs review

SAP affinity can be allosterically regulated by toehold displacement of the hybridizing PNAs, which disrupts coiled-coil stabilization.

Claim 13allosteric regulationsupports2025Source 1needs review

SAP affinity can be allosterically regulated by toehold displacement of the hybridizing PNAs, which disrupts coiled-coil stabilization.

Claim 14allosteric regulationsupports2025Source 1needs review

SAP affinity can be allosterically regulated by toehold displacement of the hybridizing PNAs, which disrupts coiled-coil stabilization.

Claim 15allosteric regulationsupports2025Source 1needs review

SAP affinity can be allosterically regulated by toehold displacement of the hybridizing PNAs, which disrupts coiled-coil stabilization.

Claim 16application performancesupports2025Source 1needs review

An RBD-targeting SAP effectively inhibits SARS-CoV-2 viral entry with an IC50 of 2.8 nM.

IC50 2.8 nM
Claim 17application performancesupports2025Source 1needs review

An RBD-targeting SAP effectively inhibits SARS-CoV-2 viral entry with an IC50 of 2.8 nM.

IC50 2.8 nM
Claim 18application performancesupports2025Source 1needs review

An RBD-targeting SAP effectively inhibits SARS-CoV-2 viral entry with an IC50 of 2.8 nM.

IC50 2.8 nM
Claim 19application performancesupports2025Source 1needs review

An RBD-targeting SAP effectively inhibits SARS-CoV-2 viral entry with an IC50 of 2.8 nM.

IC50 2.8 nM
Claim 20application performancesupports2025Source 1needs review

An RBD-targeting SAP effectively inhibits SARS-CoV-2 viral entry with an IC50 of 2.8 nM.

IC50 2.8 nM
Claim 21application performancesupports2025Source 1needs review

An RBD-targeting SAP effectively inhibits SARS-CoV-2 viral entry with an IC50 of 2.8 nM.

IC50 2.8 nM
Claim 22application performancesupports2025Source 1needs review

An RBD-targeting SAP effectively inhibits SARS-CoV-2 viral entry with an IC50 of 2.8 nM.

IC50 2.8 nM
Claim 23application performancesupports2025Source 1needs review

An RBD-targeting SAP effectively inhibits SARS-CoV-2 viral entry with an IC50 of 2.8 nM.

IC50 2.8 nM
Claim 24application performancesupports2025Source 1needs review

An RBD-targeting SAP effectively inhibits SARS-CoV-2 viral entry with an IC50 of 2.8 nM.

IC50 2.8 nM
Claim 25application performancesupports2025Source 1needs review

An RBD-targeting SAP effectively inhibits SARS-CoV-2 viral entry with an IC50 of 2.8 nM.

IC50 2.8 nM
Claim 26application performancesupports2025Source 1needs review

An RBD-targeting SAP effectively inhibits SARS-CoV-2 viral entry with an IC50 of 2.8 nM.

IC50 2.8 nM
Claim 27application performancesupports2025Source 1needs review

An RBD-targeting SAP effectively inhibits SARS-CoV-2 viral entry with an IC50 of 2.8 nM.

IC50 2.8 nM
Claim 28application performancesupports2025Source 1needs review

An RBD-targeting SAP effectively inhibits SARS-CoV-2 viral entry with an IC50 of 2.8 nM.

IC50 2.8 nM
Claim 29application performancesupports2025Source 1needs review

An RBD-targeting SAP effectively inhibits SARS-CoV-2 viral entry with an IC50 of 2.8 nM.

IC50 2.8 nM
Claim 30application performancesupports2025Source 1needs review

An RBD-targeting SAP effectively inhibits SARS-CoV-2 viral entry with an IC50 of 2.8 nM.

IC50 2.8 nM
Claim 31binding performancesupports2025Source 1needs review

The SAP design paradigm is functional for structurally distinct three-helix peptides aimed at HER2 and spike RBD, reaching picomolar affinities.

binding affinity picomolar affinities
Claim 32binding performancesupports2025Source 1needs review

The SAP design paradigm is functional for structurally distinct three-helix peptides aimed at HER2 and spike RBD, reaching picomolar affinities.

binding affinity picomolar affinities
Claim 33binding performancesupports2025Source 1needs review

The SAP design paradigm is functional for structurally distinct three-helix peptides aimed at HER2 and spike RBD, reaching picomolar affinities.

binding affinity picomolar affinities
Claim 34binding performancesupports2025Source 1needs review

The SAP design paradigm is functional for structurally distinct three-helix peptides aimed at HER2 and spike RBD, reaching picomolar affinities.

binding affinity picomolar affinities
Claim 35binding performancesupports2025Source 1needs review

The SAP design paradigm is functional for structurally distinct three-helix peptides aimed at HER2 and spike RBD, reaching picomolar affinities.

binding affinity picomolar affinities
Claim 36binding performancesupports2025Source 1needs review

The SAP design paradigm is functional for structurally distinct three-helix peptides aimed at HER2 and spike RBD, reaching picomolar affinities.

binding affinity picomolar affinities
Claim 37binding performancesupports2025Source 1needs review

The SAP design paradigm is functional for structurally distinct three-helix peptides aimed at HER2 and spike RBD, reaching picomolar affinities.

binding affinity picomolar affinities
Claim 38binding performancesupports2025Source 1needs review

The SAP design paradigm is functional for structurally distinct three-helix peptides aimed at HER2 and spike RBD, reaching picomolar affinities.

binding affinity picomolar affinities
Claim 39binding performancesupports2025Source 1needs review

The SAP design paradigm is functional for structurally distinct three-helix peptides aimed at HER2 and spike RBD, reaching picomolar affinities.

binding affinity picomolar affinities
Claim 40binding performancesupports2025Source 1needs review

The SAP design paradigm is functional for structurally distinct three-helix peptides aimed at HER2 and spike RBD, reaching picomolar affinities.

binding affinity picomolar affinities
Claim 41binding performancesupports2025Source 1needs review

The SAP design paradigm is functional for structurally distinct three-helix peptides aimed at HER2 and spike RBD, reaching picomolar affinities.

binding affinity picomolar affinities
Claim 42binding performancesupports2025Source 1needs review

The SAP design paradigm is functional for structurally distinct three-helix peptides aimed at HER2 and spike RBD, reaching picomolar affinities.

binding affinity picomolar affinities
Claim 43binding performancesupports2025Source 1needs review

The SAP design paradigm is functional for structurally distinct three-helix peptides aimed at HER2 and spike RBD, reaching picomolar affinities.

binding affinity picomolar affinities
Claim 44binding performancesupports2025Source 1needs review

The SAP design paradigm is functional for structurally distinct three-helix peptides aimed at HER2 and spike RBD, reaching picomolar affinities.

binding affinity picomolar affinities
Claim 45binding performancesupports2025Source 1needs review

The SAP design paradigm is functional for structurally distinct three-helix peptides aimed at HER2 and spike RBD, reaching picomolar affinities.

binding affinity picomolar affinities
Claim 46method performancesupports2025Source 1needs review

T-NCL dramatically accelerates ligation and enables combinatorial chemistry at low micromolar concentrations.

concentration regime low micromolar concentrations
Claim 47method performancesupports2025Source 1needs review

T-NCL dramatically accelerates ligation and enables combinatorial chemistry at low micromolar concentrations.

concentration regime low micromolar concentrations
Claim 48method performancesupports2025Source 1needs review

T-NCL dramatically accelerates ligation and enables combinatorial chemistry at low micromolar concentrations.

concentration regime low micromolar concentrations
Claim 49method performancesupports2025Source 1needs review

T-NCL dramatically accelerates ligation and enables combinatorial chemistry at low micromolar concentrations.

concentration regime low micromolar concentrations
Claim 50method performancesupports2025Source 1needs review

T-NCL dramatically accelerates ligation and enables combinatorial chemistry at low micromolar concentrations.

concentration regime low micromolar concentrations
Claim 51method performancesupports2025Source 1needs review

T-NCL dramatically accelerates ligation and enables combinatorial chemistry at low micromolar concentrations.

concentration regime low micromolar concentrations
Claim 52method performancesupports2025Source 1needs review

T-NCL dramatically accelerates ligation and enables combinatorial chemistry at low micromolar concentrations.

concentration regime low micromolar concentrations
Claim 53method performancesupports2025Source 1needs review

T-NCL dramatically accelerates ligation and enables combinatorial chemistry at low micromolar concentrations.

concentration regime low micromolar concentrations
Claim 54method performancesupports2025Source 1needs review

T-NCL dramatically accelerates ligation and enables combinatorial chemistry at low micromolar concentrations.

concentration regime low micromolar concentrations
Claim 55method performancesupports2025Source 1needs review

T-NCL dramatically accelerates ligation and enables combinatorial chemistry at low micromolar concentrations.

concentration regime low micromolar concentrations
Claim 56method performancesupports2025Source 1needs review

T-NCL dramatically accelerates ligation and enables combinatorial chemistry at low micromolar concentrations.

concentration regime low micromolar concentrations
Claim 57method performancesupports2025Source 1needs review

T-NCL dramatically accelerates ligation and enables combinatorial chemistry at low micromolar concentrations.

concentration regime low micromolar concentrations
Claim 58method performancesupports2025Source 1needs review

T-NCL dramatically accelerates ligation and enables combinatorial chemistry at low micromolar concentrations.

concentration regime low micromolar concentrations
Claim 59method performancesupports2025Source 1needs review

T-NCL dramatically accelerates ligation and enables combinatorial chemistry at low micromolar concentrations.

concentration regime low micromolar concentrations
Claim 60method performancesupports2025Source 1needs review

T-NCL dramatically accelerates ligation and enables combinatorial chemistry at low micromolar concentrations.

concentration regime low micromolar concentrations
Claim 61strategy descriptionsupports2025Source 1needs review

SAP is a strategy to mimic three-helix bundle architecture using a hybridization-enforced two-helix coiled coil obtained by templated native chemical ligation of PNA-peptide conjugates.

Claim 62strategy descriptionsupports2025Source 1needs review

SAP is a strategy to mimic three-helix bundle architecture using a hybridization-enforced two-helix coiled coil obtained by templated native chemical ligation of PNA-peptide conjugates.

Claim 63strategy descriptionsupports2025Source 1needs review

SAP is a strategy to mimic three-helix bundle architecture using a hybridization-enforced two-helix coiled coil obtained by templated native chemical ligation of PNA-peptide conjugates.

Claim 64strategy descriptionsupports2025Source 1needs review

SAP is a strategy to mimic three-helix bundle architecture using a hybridization-enforced two-helix coiled coil obtained by templated native chemical ligation of PNA-peptide conjugates.

Claim 65strategy descriptionsupports2025Source 1needs review

SAP is a strategy to mimic three-helix bundle architecture using a hybridization-enforced two-helix coiled coil obtained by templated native chemical ligation of PNA-peptide conjugates.

Claim 66strategy descriptionsupports2025Source 1needs review

SAP is a strategy to mimic three-helix bundle architecture using a hybridization-enforced two-helix coiled coil obtained by templated native chemical ligation of PNA-peptide conjugates.

Claim 67strategy descriptionsupports2025Source 1needs review

SAP is a strategy to mimic three-helix bundle architecture using a hybridization-enforced two-helix coiled coil obtained by templated native chemical ligation of PNA-peptide conjugates.

Claim 68strategy descriptionsupports2025Source 1needs review

SAP is a strategy to mimic three-helix bundle architecture using a hybridization-enforced two-helix coiled coil obtained by templated native chemical ligation of PNA-peptide conjugates.

Claim 69strategy descriptionsupports2025Source 1needs review

SAP is a strategy to mimic three-helix bundle architecture using a hybridization-enforced two-helix coiled coil obtained by templated native chemical ligation of PNA-peptide conjugates.

Claim 70strategy descriptionsupports2025Source 1needs review

SAP is a strategy to mimic three-helix bundle architecture using a hybridization-enforced two-helix coiled coil obtained by templated native chemical ligation of PNA-peptide conjugates.

Claim 71strategy descriptionsupports2025Source 1needs review

SAP is a strategy to mimic three-helix bundle architecture using a hybridization-enforced two-helix coiled coil obtained by templated native chemical ligation of PNA-peptide conjugates.

Claim 72strategy descriptionsupports2025Source 1needs review

SAP is a strategy to mimic three-helix bundle architecture using a hybridization-enforced two-helix coiled coil obtained by templated native chemical ligation of PNA-peptide conjugates.

Claim 73strategy descriptionsupports2025Source 1needs review

SAP is a strategy to mimic three-helix bundle architecture using a hybridization-enforced two-helix coiled coil obtained by templated native chemical ligation of PNA-peptide conjugates.

Claim 74strategy descriptionsupports2025Source 1needs review

SAP is a strategy to mimic three-helix bundle architecture using a hybridization-enforced two-helix coiled coil obtained by templated native chemical ligation of PNA-peptide conjugates.

Claim 75strategy descriptionsupports2025Source 1needs review

SAP is a strategy to mimic three-helix bundle architecture using a hybridization-enforced two-helix coiled coil obtained by templated native chemical ligation of PNA-peptide conjugates.

Claim 76synthetic accessibilitysupports2025Source 1needs review

The SAP strategy reduces the length of the longest synthetic peptide to less than 30 amino acids, making it readily attainable by standard SPPS methodologies.

longest synthetic peptide length 30 amino acids
Claim 77synthetic accessibilitysupports2025Source 1needs review

The SAP strategy reduces the length of the longest synthetic peptide to less than 30 amino acids, making it readily attainable by standard SPPS methodologies.

longest synthetic peptide length 30 amino acids
Claim 78synthetic accessibilitysupports2025Source 1needs review

The SAP strategy reduces the length of the longest synthetic peptide to less than 30 amino acids, making it readily attainable by standard SPPS methodologies.

longest synthetic peptide length 30 amino acids
Claim 79synthetic accessibilitysupports2025Source 1needs review

The SAP strategy reduces the length of the longest synthetic peptide to less than 30 amino acids, making it readily attainable by standard SPPS methodologies.

longest synthetic peptide length 30 amino acids
Claim 80synthetic accessibilitysupports2025Source 1needs review

The SAP strategy reduces the length of the longest synthetic peptide to less than 30 amino acids, making it readily attainable by standard SPPS methodologies.

longest synthetic peptide length 30 amino acids
Claim 81synthetic accessibilitysupports2025Source 1needs review

The SAP strategy reduces the length of the longest synthetic peptide to less than 30 amino acids, making it readily attainable by standard SPPS methodologies.

longest synthetic peptide length 30 amino acids
Claim 82synthetic accessibilitysupports2025Source 1needs review

The SAP strategy reduces the length of the longest synthetic peptide to less than 30 amino acids, making it readily attainable by standard SPPS methodologies.

longest synthetic peptide length 30 amino acids
Claim 83synthetic accessibilitysupports2025Source 1needs review

The SAP strategy reduces the length of the longest synthetic peptide to less than 30 amino acids, making it readily attainable by standard SPPS methodologies.

longest synthetic peptide length 30 amino acids
Claim 84synthetic accessibilitysupports2025Source 1needs review

The SAP strategy reduces the length of the longest synthetic peptide to less than 30 amino acids, making it readily attainable by standard SPPS methodologies.

longest synthetic peptide length 30 amino acids
Claim 85synthetic accessibilitysupports2025Source 1needs review

The SAP strategy reduces the length of the longest synthetic peptide to less than 30 amino acids, making it readily attainable by standard SPPS methodologies.

longest synthetic peptide length 30 amino acids
Claim 86synthetic accessibilitysupports2025Source 1needs review

The SAP strategy reduces the length of the longest synthetic peptide to less than 30 amino acids, making it readily attainable by standard SPPS methodologies.

longest synthetic peptide length 30 amino acids
Claim 87synthetic accessibilitysupports2025Source 1needs review

The SAP strategy reduces the length of the longest synthetic peptide to less than 30 amino acids, making it readily attainable by standard SPPS methodologies.

longest synthetic peptide length 30 amino acids
Claim 88synthetic accessibilitysupports2025Source 1needs review

The SAP strategy reduces the length of the longest synthetic peptide to less than 30 amino acids, making it readily attainable by standard SPPS methodologies.

longest synthetic peptide length 30 amino acids
Claim 89synthetic accessibilitysupports2025Source 1needs review

The SAP strategy reduces the length of the longest synthetic peptide to less than 30 amino acids, making it readily attainable by standard SPPS methodologies.

longest synthetic peptide length 30 amino acids
Claim 90synthetic accessibilitysupports2025Source 1needs review

The SAP strategy reduces the length of the longest synthetic peptide to less than 30 amino acids, making it readily attainable by standard SPPS methodologies.

longest synthetic peptide length 30 amino acids
Claim 91workflow capabilitysupports2025Source 1needs review

Small combinatorial libraries of SAPs can be prepared in one operation and used directly in affinity selections with LC-MS analysis of the fittest binders.

Claim 92workflow capabilitysupports2025Source 1needs review

Small combinatorial libraries of SAPs can be prepared in one operation and used directly in affinity selections with LC-MS analysis of the fittest binders.

Claim 93workflow capabilitysupports2025Source 1needs review

Small combinatorial libraries of SAPs can be prepared in one operation and used directly in affinity selections with LC-MS analysis of the fittest binders.

Claim 94workflow capabilitysupports2025Source 1needs review

Small combinatorial libraries of SAPs can be prepared in one operation and used directly in affinity selections with LC-MS analysis of the fittest binders.

Claim 95workflow capabilitysupports2025Source 1needs review

Small combinatorial libraries of SAPs can be prepared in one operation and used directly in affinity selections with LC-MS analysis of the fittest binders.

Claim 96workflow capabilitysupports2025Source 1needs review

Small combinatorial libraries of SAPs can be prepared in one operation and used directly in affinity selections with LC-MS analysis of the fittest binders.

Claim 97workflow capabilitysupports2025Source 1needs review

Small combinatorial libraries of SAPs can be prepared in one operation and used directly in affinity selections with LC-MS analysis of the fittest binders.

Claim 98workflow capabilitysupports2025Source 1needs review

Small combinatorial libraries of SAPs can be prepared in one operation and used directly in affinity selections with LC-MS analysis of the fittest binders.

Claim 99workflow capabilitysupports2025Source 1needs review

Small combinatorial libraries of SAPs can be prepared in one operation and used directly in affinity selections with LC-MS analysis of the fittest binders.

Claim 100workflow capabilitysupports2025Source 1needs review

Small combinatorial libraries of SAPs can be prepared in one operation and used directly in affinity selections with LC-MS analysis of the fittest binders.

Claim 101workflow capabilitysupports2025Source 1needs review

Small combinatorial libraries of SAPs can be prepared in one operation and used directly in affinity selections with LC-MS analysis of the fittest binders.

Claim 102workflow capabilitysupports2025Source 1needs review

Small combinatorial libraries of SAPs can be prepared in one operation and used directly in affinity selections with LC-MS analysis of the fittest binders.

Claim 103workflow capabilitysupports2025Source 1needs review

Small combinatorial libraries of SAPs can be prepared in one operation and used directly in affinity selections with LC-MS analysis of the fittest binders.

Claim 104workflow capabilitysupports2025Source 1needs review

Small combinatorial libraries of SAPs can be prepared in one operation and used directly in affinity selections with LC-MS analysis of the fittest binders.

Claim 105workflow capabilitysupports2025Source 1needs review

Small combinatorial libraries of SAPs can be prepared in one operation and used directly in affinity selections with LC-MS analysis of the fittest binders.

Claim 106workflow capabilitysupports2025Source 1needs review

Small combinatorial libraries of SAPs can be prepared in one operation and used directly in affinity selections with LC-MS analysis of the fittest binders.

Claim 107workflow capabilitysupports2025Source 1needs review

Small combinatorial libraries of SAPs can be prepared in one operation and used directly in affinity selections with LC-MS analysis of the fittest binders.

Claim 108workflow capabilitysupports2025Source 1needs review

Small combinatorial libraries of SAPs can be prepared in one operation and used directly in affinity selections with LC-MS analysis of the fittest binders.

Claim 109workflow capabilitysupports2025Source 1needs review

Small combinatorial libraries of SAPs can be prepared in one operation and used directly in affinity selections with LC-MS analysis of the fittest binders.

Claim 110workflow capabilitysupports2025Source 1needs review

Small combinatorial libraries of SAPs can be prepared in one operation and used directly in affinity selections with LC-MS analysis of the fittest binders.

Claim 111workflow capabilitysupports2025Source 1needs review

Small combinatorial libraries of SAPs can be prepared in one operation and used directly in affinity selections with LC-MS analysis of the fittest binders.

Claim 112workflow capabilitysupports2025Source 1needs review

Small combinatorial libraries of SAPs can be prepared in one operation and used directly in affinity selections with LC-MS analysis of the fittest binders.

Claim 113workflow capabilitysupports2025Source 1needs review

Small combinatorial libraries of SAPs can be prepared in one operation and used directly in affinity selections with LC-MS analysis of the fittest binders.

Approval Evidence

1 source1 linked approval claimfirst-pass slug lc-ms-analysis-of-fittest-binders
small combinatorial libraries of SAPs can be prepared in one operation and used directly in affinity selections against a target of interest with an LC-MS analysis of the fittest binders.

Source:

workflow capabilitysupports

Small combinatorial libraries of SAPs can be prepared in one operation and used directly in affinity selections with LC-MS analysis of the fittest binders.

Source:

Comparisons

Source-backed strengths

A key strength is compatibility with one-pot-prepared small combinatorial SAP libraries that can be used directly in affinity selections and then analyzed by LC-MS for enriched binders. The source also reports that an RBD-targeting SAP from this platform effectively inhibited SARS-CoV-2 viral entry with an IC50 of 2.8 nM, supporting the functional relevance of binders obtained in this system.

LC-MS analysis of fittest binders and H3K36me3 cfChIP followed by droplet digital PCR address a similar problem space because they share selection.

Shared frame: same top-level item type; shared target processes: selection

LC-MS analysis of fittest binders and high throughput screening address a similar problem space because they share selection.

Shared frame: same top-level item type; shared target processes: selection

LC-MS analysis of fittest binders and whole genome screening of gene knockout mutants address a similar problem space because they share selection.

Shared frame: same top-level item type; shared target processes: selection

Ranked Citations

  1. 1.

    Extracted from this source document.