Lyu Hezheng H - OmicsDI

Browse
Submit Data
Databases
API

2 Results

Show all Save search Copy query

Show results for

Proteomics (2)

Organisms

Streptomyces rimosus subsp. rimosus (2)
Erythrina fusca (2)
bioreactor metagenome (2)
Murine cytomegalovirus (strain Smith) (2)
Manis pentadactyla (2)
Microbacterium sp. LEw-1055 (2)
Hypoxis hemerocallidea (2)
Duck hepatitis virus SD01 (2)
Salmonella enterica (2)
NEWT:338187 (2)
Cuscuteae (2)
Poterioochromonas malhamensis (2)
Chlamydia trachomatis E/C599 (2)
Spongospora sp. (2)
Musa acuminata x Musa textilis (2)
Centruroides hentzi (2)
Pyrodictium delaneyi (2)
Macrophomina phaseolina MS6 (2)
Escherichia coli O107 (2)
Campylobacter jejuni subsp. jejuni (2)
Lactococcus cremoris (2)
Sulfitobacter indolifex (2)
Daucus carota subsp. sativus (2)
Marivirga tractuosa (2)
Microcebus murinus (2)
unclassified Chromatiaceae (2)
Plethodon shermani (2)
Desmognathus ocoee (2)
Chloris chloris chloris (2)
Monascus purpureus (2)

Repository

pride (2)

Tissue

Cell culture (2)

Technology Type

Bottom-up proteomics (2)
Data-dependent acquisition (2)
Mass Spectrometry (2)

Publication Date

2026 (2)

Lab affiliation

Division of Physiological Chemistry I, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, 171 65 Stockholm, Sweden (1)
Division of Physiological Chemistry I, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, SE-17 177 Stockholm, Sweden (1)

Previous page
1 / 1
You're on page 1
Next page

Sort by:

Relevance

Page size

10

ThermoTargetMiner: Proteome Integral Solubility Alteration (PISA) target database for prospective lung cancer drug candidates

Knowledge of the targets of therapeutic compounds helps understanding the compound action mechanism as well as the side-effects. The multiple complementary techniques needed for comprehensive target characterization must combine data reliability with sufficient analysis throughput. Here, we test the...

ORGANISM(S): Homo sapiens (Human)

2026-06-08 | PXD054158 | Pride

Human Proteomics Lc-ms Lung cancer

OVERDRIVE: overcoming cancer cell resistance to drugs by supplementary nontoxic molecule predicted by a machine learning tool

Here we aim to test the notion that overcoming cancer cells’ acquired resistance to chemotherapy drugs may be achieved by administrating together with the main drug a molecule that is not toxic by itself but enhances the drug efficacy in killing the resistant cells. Finding such a supplementary mole...

ORGANISM(S): Homo sapiens (Human)

2026-06-08 | PXD071434 | Pride

Previous page
1 / 1
You're on page 1
Next page

Sort by:

Relevance

Page size

10

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data