Corpus Engine Towards a reproducible .science file.
← All .science files

pmid:37552208

Count Dracula Resurrected: Proteomic Analysis of Vlad III the Impaler's Documents by EVA Technology and Mass Spectrometry.

Maria Gaetana Giovanna Pittalà · Antonella Di Francesco · Annamaria Cucina · Rosaria Saletti · Gleb Zilberstein · Svetlana Zilberstein · Tudor Arhire · Pier Giorgio Righetti · Vincenzo Cunsolo

Analytical chemistry · 2023 doi:10.1021/acs.analchem.3c01461

Paper

complete

Experiment

partial

Data

partial

Analysis

partial

Execution

absent

Execution evidence has not yet been added to this .science file. Explore its methods, data and open questions to plan the next step.
Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
id
pmid:37552208
kind
science-record
content_hash
sha256:ef3746a7160e9cbcb3b47083156234783730470e7dcbc086bbba51d1116ddb80
schema
https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json
created_at
2026-11-01T19:02:19Z
updated_at
2026-11-01T21:31:18Z
generator object · 2 fields
name
corpus-assay-engine
run_id
reading-sci-2026-11-01
paper object · 10 fields
state
complete
title
Count Dracula Resurrected: Proteomic Analysis of Vlad III the Impaler's Documents by EVA Technology and Mass Spectrometry.
doi
10.1021/acs.analchem.3c01461
pmid
37552208
authors array · 9 items
[0]
Maria Gaetana Giovanna Pittalà
[1]
Antonella Di Francesco
[2]
Annamaria Cucina
[3]
Rosaria Saletti
[4]
Gleb Zilberstein
[5]
Svetlana Zilberstein
[6]
Tudor Arhire
[7]
Pier Giorgio Righetti
[8]
Vincenzo Cunsolo
journal
Analytical chemistry
year
2023
abstract
The interest of scientists in analyzing items of World Cultural Heritage has been exponentially increasing since the beginning of the new millennium. These studies have grown considerably in tandem with the development and use of sophisticated and sensitive technologies such as high-resolution mass spectrometry (MS) and the non-invasive and non-damaging technique, known under the acronym EVA (ethylene-vinyl acetate). Here, we report the results of the MS characterization of the peptides and proteins harvested by the EVA technology applied to three letters written in 1457 and 1475 by the voivode of Wallachia, Vlad III, also known as Vlad the Impaler, or Vlad Dracula. The discrimination of the "original" endogenous peptides from contaminant ones was obtained by monitoring their different levels of deamidation and of other diagenetic chemical modifications. The characterization of the ancient proteins extracted from these documents allowed us to explore the environmental conditions, in the second half of the 15th century, of the Wallachia, a region considered as a meeting point for soldiers, migrants, and travelers that probably carried not only trade goods and cultural traditions but also diseases and epidemics. In addition, the identification of many human peptides and proteins harvested from the letters allowed us to uncover more about Vlad Dracula the Impaler. Particularly, the experimental data show that he probably suffered from inflammatory processes of the respiratory tract and/or of the skin. In addition, proteomics data, although not exhaustive, suggest that, according to some stories, he might also have suffered from a pathological condition called hemolacria, that is, he could shed tears admixed with blood. It is worth noting that more medieval people may have touched these documents, which cannot be denied, but it is also presumable that the most prominent ancient proteins should be related to Prince Vlad the Impaler, who wrote and signed these letters. The data have been deposited to the ProteomeXchange with the identifier ⟨PXD041350⟩.
claims array · 2 items
[0] object · 6 fields
id
claim-method
statement
An estimation of the percentage of deamidation for each sample was calculated with the aid of a freely available command-line script for Python 2.x (https://github.com/dblyon/deamidation), which uses the MaxQuant “evidence.txt” file.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:37552208
locator
sections[11] "Calculation of the Level of Deamidation and Other Modifications" paragraph 2
quote
An estimation of the percentage of deamidation for each sample was calculated with the aid of a freely available command-line script for Python 2.x (https://github.com/dblyon/deamidation), which uses the MaxQuant “evidence.txt” file.
state
complete
[1] object · 6 fields
id
claim-data-access
statement
The MS data have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the PRIDE partner repository with the data set identifier < PXD041350>.
kind
methodological
target
null
evidence array · 1 item
[0] object · 3 fields
asset
source:pmid:37552208
locator
sections[10] "Database Search" paragraph 2
quote
The MS data have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the PRIDE partner repository with the data set identifier < PXD041350>.
state
complete
gaps array · 0 items
experiment object · 8 fields
state
partial
steps array · 3 items
[0] object · 13 fields
id
read_published_estimate
order
1
name
Read the published estimate from the source
kind
other
state
complete
blocked_on
null
description
The claim, method and evidence span published with the source article.
parameters object · 0 fields
inputs array · 1 item
[0]
source:pmid:37552208
outputs array · 1 item
[0]
the published estimate and its evidence
instruments array · 0 items
reagents array · 0 items
[1] object · 13 fields
id
obtain_source_data
order
2
name
Obtain the source data from the named repository
kind
data-preparation
state
blocked
blocked_on
data:accession_absent
description
The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.
parameters object · 0 fields
inputs array · 0 items
outputs array · 1 item
[0]
the source data with its repository provenance
instruments array · 0 items
reagents array · 0 items
[2] object · 13 fields
id
run_analysis
order
3
name
Run the published analysis
kind
analysis
state
complete
blocked_on
null
description
Apply the paper's statistical method to the resolved series and compare the result with the published target.
parameters object · 0 fields
inputs array · 0 items
outputs array · 1 item
[0]
the replicated result and its comparison
instruments array · 0 items
reagents array · 0 items
materials array · 0 items
instruments array · 0 items
reagents array · 0 items
conditions object · 0 fields
gaps array · 1 item
[0]
step:obtain_source_data blocked on data:accession_absent
data object · 3 fields
state
partial
assets array · 1 item
[0] object · 15 fields
id
source:pmid:37552208
role
manuscript
format
xml
media_type
application/xml
uri
https://doi.org/10.1021/acs.analchem.3c01461
sha256
sha256:b29bc609ab4e3ac72ab41c8ed9dcad1e0994d8f80500d7c76697ef2555f327bd
bytes
60018
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
10.1021/acs.analchem.3c01461
version
null
note
Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.
structure object · 4 fields
pmcid
PMC10469356
source
europe_pmc_fulltext
coverage
whole_body
text_hash_scope
rendered_section_body
gaps array · 0 items
analysis object · 4 fields
state
partial
methods array · 1 item
[0] object · 10 fields
id
method-1
family
null
specific
null
label
Estimation of the percentage of deamidation using a freely available Python command-line script and the MaxQuant evidence.txt file, calculated separately for potentially original and potentially contaminant peptides.
dsl_operations array · 0 items
missing_operations array · 0 items
parameters object · 0 fields
data_shapes array · 0 items
evidence object · 3 fields
score
1
band
verbatim
quote
An estimation of the percentage of deamidation for each sample was calculated with the aid of a freely available command-line script for Python 2.x (https://github.com/dblyon/deamidation), which uses the MaxQuant “evidence.txt” file.
targets array · 0 items
gaps array · 1 item
[0]
method.reader_named_unmapped
capability object · 3 fields
state
complete
requirements array · 1 item
[0] object · 6 fields
capability_id
capability:computational_analysis
label
Computational analysis platform
assay_families array · 9 items
[0]
meta_analysis
[1]
machine_learning
[2]
survival_analysis
[3]
statistical_regression
[4]
pca
[5]
molecular_docking
[6]
network_analysis
[7]
differential_expression
[8]
gwas
candidate
Automated Assays Laravel application and simulated adapters
gaps array · 0 items
readiness object · 8 fields
state
blocked
tier
R4
blocked_on
data:accession_absent
axes object · 3 fields
method object · 5 fields
tier
R4
expressible
false
required_operations array · 0 items
missing_operations array · 0 items
basis
The reader quoted the method the paper names (Estimation of the percentage of deamidation using a freely available Python command-line script and the MaxQuant evidence.txt file, calculated separately for potentially original and potentially contaminant peptides.), but the corpus's method extractor could not map it onto a DSL operation, so the method is published but not expressible.
capability object · 4 fields
tier
R1
capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
tier
R4
reachable
false
accessions array · 1 item
[0]
< PXD041350>
resolved_accessions array · 0 items
statements array · 1 item
[0]
The MS data have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the PRIDE partner repository with the data set identifier < PXD041350>.
basis
The paper names < PXD041350>, but the accession does not resolve in the repository (no reason recorded), so the data cannot be reached from here. No dataset was downloaded and no licence was read.
can_run object · 3 fields
dsl_operations array · 0 items
assets array · 1 item
[0]
source:pmid:37552208
steps array · 1 item
[0]
run_analysis
must_build object · 5 fields
dsl_operations array · 0 items
converters array · 0 items
readers array · 0 items
capabilities array · 0 items
data_gaps array · 1 item
[0]
data:geo:None
gaps array · 1 item
[0]
data:accession_absent
review object · 5 fields
state
partial
machine_critique object · 5 fields
kind
extraction_review
reader object · 5 fields
model
MiniMax-M3.1-Flash
provider
minimax
provider_family
minimax
read_at
2026-11-01T18:48:59Z
independence
single_reader
evidence_check object · 2 fields
method
verbatim
availability
verbatim
calls
5
usage object · 3 fields
prompt_tokens
16337
completion_tokens
1082
cached_tokens
256
stages array · 1 item
[0] object · 4 fields
id
extraction
state
complete
reader
MiniMax-M3.1-Flash
provider
minimax
gaps array · 3 items
[0]
review.independent_reader
[1]
review.machine_critique
[2]
review.human_critique
execution object · 5 fields
state
absent
status
not_run
mode
null
runs array · 0 items
gaps array · 1 item
[0]
execution.not_run
provenance object · 7 fields
entities array · 3 items
[0] object · 3 fields
id
pmid:37552208
type
paper
label
pmid:37552208
[1] object · 3 fields
id
source:pmid:37552208
type
manuscript
label
PMID 37552208 full text
[2] object · 3 fields
id
data:geo:None
type
dataset
label
GEO None
activities array · 3 items
[0] object · 4 fields
id
activity-reading-sci-2026-11-01
type
classification
used array · 3 items
[0] object · 3 fields
id
pmid:37552208
type
paper
label
pmid:37552208
[1] object · 3 fields
id
source:pmid:37552208
type
manuscript
label
PMID 37552208 full text
[2] object · 3 fields
id
data:geo:None
type
dataset
label
GEO None
agent
agent:corpus-assay-engine
[1] object · 4 fields
id
activity-read-37552208
type
extraction
used array · 1 item
[0]
source:pmid:37552208
agent
agent:minimax-reader
[2] object · 4 fields
id
activity-resolve-None
type
accession_resolution
used array · 1 item
[0]
data:geo:None
agent
agent:corpus-assay-engine
agents array · 2 items
[0] object · 3 fields
id
agent:corpus-assay-engine
type
software
label
Corpus assay engine
[1] object · 3 fields
id
agent:minimax-reader
type
software
label
MiniMax literature reader
source_run_id
reading-sci-2026-11-01
dsl_catalogue_fingerprint
343fb30756ba6ec3
capability_table_fingerprint
2cb3e42f047d2ecf
snapshot_id
ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:37552208
parent_hash
sha256:978b6076af9b1b64df5898bec3d2c45b71d95770d54428abed33c37a79f53c06
fork_of
null
gaps array · 6 items
[0]
execution.not_run
[1]
method.reader_named_unmapped
[2]
review.human_critique
[3]
review.independent_reader
[4]
review.machine_critique
[5]
step:obtain_source_data blocked on data:accession_absent
assays array · 1 item
[0] object · 11 fields
role
data_generation
definition_id
mass_spectrometry
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.99
evidence array · 4 items
[0]
he Impaler's Documents by EVA Technology and Mass Spectrometry.
[1]
nsitive technologies such as high-resolution mass spectrometry (MS) and the non-invasive and non-damaging t
[2]
Count Dracula Resurrected: Proteomic Analysis of Vlad III the Impaler's Documents
[3]
atory tract and/or of the skin. In addition, proteomics data, although not exhaustive, suggest that,
order_basis
paper_text_order:0
id
assay:1
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37552208", "kind": "science-record", "revision": 2, "content_hash": "sha256:ef3746a7160e9cbcb3b47083156234783730470e7dcbc086bbba51d1116ddb80", "created_at": "2026-11-01T19:02:19Z", "updated_at": "2026-11-01T21:31:18Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Count Dracula Resurrected: Proteomic Analysis of Vlad III the Impaler's Documents by EVA Technology and Mass Spectrometry.", "doi": "10.1021/acs.analchem.3c01461", "pmid": "37552208", "authors": ["Maria Gaetana Giovanna Pittalà", "Antonella Di Francesco", "Annamaria Cucina", "Rosaria Saletti", "Gleb Zilberstein", "Svetlana Zilberstein", "Tudor Arhire", "Pier Giorgio Righetti", "Vincenzo Cunsolo"], "journal": "Analytical chemistry", "year": 2023, "abstract": "The interest of scientists in analyzing items of World Cultural Heritage has been exponentially increasing since the beginning of the new millennium. These studies have grown considerably in tandem with the development and use of sophisticated and sensitive technologies such as high-resolution mass spectrometry (MS) and the non-invasive and non-damaging technique, known under the acronym EVA (ethylene-vinyl acetate). Here, we report the results of the MS characterization of the peptides and proteins harvested by the EVA technology applied to three letters written in 1457 and 1475 by the voivode of Wallachia, Vlad III, also known as Vlad the Impaler, or Vlad Dracula. The discrimination of the \"original\" endogenous peptides from contaminant ones was obtained by monitoring their different levels of deamidation and of other diagenetic chemical modifications. The characterization of the ancient proteins extracted from these documents allowed us to explore the environmental conditions, in the second half of the 15th century, of the Wallachia, a region considered as a meeting point for soldiers, migrants, and travelers that probably carried not only trade goods and cultural traditions but also diseases and epidemics. In addition, the identification of many human peptides and proteins harvested from the letters allowed us to uncover more about Vlad Dracula the Impaler. Particularly, the experimental data show that he probably suffered from inflammatory processes of the respiratory tract and/or of the skin. In addition, proteomics data, although not exhaustive, suggest that, according to some stories, he might also have suffered from a pathological condition called hemolacria, that is, he could shed tears admixed with blood. It is worth noting that more medieval people may have touched these documents, which cannot be denied, but it is also presumable that the most prominent ancient proteins should be related to Prince Vlad the Impaler, who wrote and signed these letters. The data have been deposited to the ProteomeXchange with the identifier ⟨PXD041350⟩.", "claims": [{"id": "claim-method", "statement": "An estimation of the percentage of deamidation for each sample was calculated with the aid of a freely available command-line script for Python 2.x (https://github.com/dblyon/deamidation), which uses the MaxQuant “evidence.txt” file.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37552208", "locator": "sections[11] \"Calculation of the Level of Deamidation and Other Modifications\" paragraph 2", "quote": "An estimation of the percentage of deamidation for each sample was calculated with the aid of a freely available command-line script for Python 2.x (https://github.com/dblyon/deamidation), which uses the MaxQuant “evidence.txt” file."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The MS data have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the PRIDE partner repository with the data set identifier < PXD041350>.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37552208", "locator": "sections[10] \"Database Search\" paragraph 2", "quote": "The MS data have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the PRIDE partner repository with the data set identifier < PXD041350>."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:37552208"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "blocked", "blocked_on": "data:accession_absent", "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": [], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": [], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": ["step:obtain_source_data blocked on data:accession_absent"]}, "data": {"state": "partial", "assets": [{"id": "source:pmid:37552208", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.1021/acs.analchem.3c01461", "sha256": "sha256:b29bc609ab4e3ac72ab41c8ed9dcad1e0994d8f80500d7c76697ef2555f327bd", "bytes": 60018, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.1021/acs.analchem.3c01461", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC10469356", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}], "gaps": []}, "analysis": {"state": "partial", "methods": [{"id": "method-1", "family": null, "specific": null, "label": "Estimation of the percentage of deamidation using a freely available Python command-line script and the MaxQuant evidence.txt file, calculated separately for potentially original and potentially contaminant peptides.", "dsl_operations": [], "missing_operations": [], "expressible": null, "parameters": {}, "data_shapes": [], "evidence": {"score": 1.0, "band": "verbatim", "quote": "An estimation of the percentage of deamidation for each sample was calculated with the aid of a freely available command-line script for Python 2.x (https://github.com/dblyon/deamidation), which uses the MaxQuant “evidence.txt” file."}}], "targets": [], "gaps": ["method.reader_named_unmapped"]}, "capability": {"state": "complete", "requirements": [{"capability_id": "capability:computational_analysis", "label": "Computational analysis platform", "assay_families": ["meta_analysis", "machine_learning", "survival_analysis", "statistical_regression", "pca", "molecular_docking", "network_analysis", "differential_expression", "gwas"], "availability_state": "owned", "tier_unlocked": "R1", "candidate": "Automated Assays Laravel application and simulated adapters"}], "gaps": []}, "readiness": {"state": "blocked", "tier": "R4", "blocking_axis": "data", "blocked_on": "data:accession_absent", "axes": {"method": {"tier": "R4", "expressible": false, "required_operations": [], "missing_operations": [], "basis": "The reader quoted the method the paper names (Estimation of the percentage of deamidation using a freely available Python command-line script and the MaxQuant evidence.txt file, calculated separately for potentially original and potentially contaminant peptides.), but the corpus's method extractor could not map it onto a DSL operation, so the method is published but not expressible."}, "capability": {"tier": "R1", "capability_id": "capability:computational_analysis", "availability_state": "owned", "basis": "The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R4", "reachable": false, "accessions": ["< PXD041350>"], "resolved_accessions": [], "statements": ["The MS data have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the PRIDE partner repository with the data set identifier < PXD041350>."], "basis": "The paper names < PXD041350>, but the accession does not resolve in the repository (no reason recorded), so the data cannot be reached from here. No dataset was downloaded and no licence was read."}}, "can_run": {"dsl_operations": [], "assets": ["source:pmid:37552208"], "steps": ["run_analysis"]}, "must_build": {"dsl_operations": [], "converters": [], "readers": [], "capabilities": [], "data_gaps": ["data:geo:None"]}, "gaps": ["data:accession_absent"]}, "review": {"state": "partial", "machine_critique": {"kind": "extraction_review", "reader": {"model": "MiniMax-M3.1-Flash", "provider": "minimax", "provider_family": "minimax", "read_at": "2026-11-01T18:48:59Z", "independence": "single_reader"}, "evidence_check": {"method": "verbatim", "availability": "verbatim"}, "calls": 5, "usage": {"prompt_tokens": 16337, "completion_tokens": 1082, "cached_tokens": 256}}, "human_critique": null, "stages": [{"id": "extraction", "state": "complete", "reader": "MiniMax-M3.1-Flash", "provider": "minimax"}], "gaps": ["review.independent_reader", "review.machine_critique", "review.human_critique"]}, "execution": {"state": "absent", "status": "not_run", "mode": null, "runs": [], "gaps": ["execution.not_run"]}, "provenance": {"entities": [{"id": "pmid:37552208", "type": "paper", "label": "pmid:37552208"}, {"id": "source:pmid:37552208", "type": "manuscript", "label": "PMID 37552208 full text"}, {"id": "data:geo:None", "type": "dataset", "label": "GEO None"}], "activities": [{"id": "activity-reading-sci-2026-11-01", "type": "classification", "used": [{"id": "pmid:37552208", "type": "paper", "label": "pmid:37552208"}, {"id": "source:pmid:37552208", "type": "manuscript", "label": "PMID 37552208 full text"}, {"id": "data:geo:None", "type": "dataset", "label": "GEO None"}], "agent": "agent:corpus-assay-engine"}, {"id": "activity-read-37552208", "type": "extraction", "used": ["source:pmid:37552208"], "agent": "agent:minimax-reader"}, {"id": "activity-resolve-None", "type": "accession_resolution", "used": ["data:geo:None"], "agent": "agent:corpus-assay-engine"}], "agents": [{"id": "agent:corpus-assay-engine", "type": "software", "label": "Corpus assay engine"}, {"id": "agent:minimax-reader", "type": "software", "label": "MiniMax literature reader"}], "source_run_id": "reading-sci-2026-11-01", "dsl_catalogue_fingerprint": "343fb30756ba6ec3", "capability_table_fingerprint": "2cb3e42f047d2ecf", "snapshot_id": "ba34b49490d9bfaf"}, "lineage": {"parent_id": "pmid:37552208", "parent_hash": "sha256:978b6076af9b1b64df5898bec3d2c45b71d95770d54428abed33c37a79f53c06", "fork_of": null, "generation": 1}, "gaps": ["execution.not_run", "method.reader_named_unmapped", "review.human_critique", "review.independent_reader", "review.machine_critique", "step:obtain_source_data blocked on data:accession_absent"], "assays": [{"role": "data_generation", "definition_id": "mass_spectrometry", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["he Impaler's Documents by EVA Technology and Mass Spectrometry.", "nsitive technologies such as high-resolution mass spectrometry (MS) and the non-invasive and non-damaging t", "Count Dracula Resurrected: Proteomic Analysis of Vlad III the Impaler's Documents", "atory tract and/or of the skin. In addition, proteomics data, although not exhaustive, suggest that,"], "order_basis": "paper_text_order:0", "id": "assay:1"}]}