Par Nordlund

Par Nordlund

Karolinska Institutet

H-index: 74

Europe-Sweden

About Par Nordlund

Par Nordlund, With an exceptional h-index of 74 and a recent h-index of 37 (since 2020), a distinguished researcher at Karolinska Institutet,

His recent articles reflect a diverse array of research interests and contributions to the field:

IMPRINTS. CETSA and IMPRINTS. CETSA. app: an R package and a Shiny application for the analysis and interpretation of IMPRINTS-CETSA data

Deep learning enables the discovery of a novel cuproptosis-inducing molecule for the inhibition of hepatocellular carcinoma

Deep learning based CETSA feature prediction cross multiple cell lines with latent space representation

Supplementary Methods

Full wwPDB X-ray Structure Validation Report i

CETSA feature based clustering for protein outlier discovery by protein-to-protein interaction prediction

CETSA interaction proteomics define specific RNA modification pathways as key components of fluorouracil based cancer drug cytotoxicity

Method for identifying a biomarker indicative of a reduced drug response using a thermal shift assay

Par Nordlund Information

University

Position

___

Citations(all)

24320

Citations(since 2020)

7631

Cited By

18479

hIndex(all)

74

hIndex(since 2020)

37

i10Index(all)

173

i10Index(since 2020)

94

Email

University Profile Page

Karolinska Institutet

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Top articles of Par Nordlund

Title

Journal

Author(s)

Publication Date

IMPRINTS. CETSA and IMPRINTS. CETSA. app: an R package and a Shiny application for the analysis and interpretation of IMPRINTS-CETSA data

Briefings in Bioinformatics

Marc-Antoine Gerault

Samuel Granjeaud

Luc Camoin

Pär Nordlund

Lingyun Dai

2024/5

Deep learning enables the discovery of a novel cuproptosis-inducing molecule for the inhibition of hepatocellular carcinoma

Acta Pharmacologica Sinica

Fan Yang

Lin Jia

Hong-chao Zhou

Jing-nan Huang

Meng-yun Hou

...

2024/2

Deep learning based CETSA feature prediction cross multiple cell lines with latent space representation

Scientific Reports

Shenghao Zhao

Xulei Yang

Zeng Zeng

Peisheng Qian

Ziyuan Zhao

...

2024/1/22

Supplementary Methods

Ann Rheum Dis

J Wen

2022

Full wwPDB X-ray Structure Validation Report i

Y Kim

KH Kim

2023

CETSA feature based clustering for protein outlier discovery by protein-to-protein interaction prediction

Xulei Yang

Qing Da

Peisheng Qian

Bharadwaj Veeravalli

Tam Wai Leong

...

2022/7/11

CETSA interaction proteomics define specific RNA modification pathways as key components of fluorouracil based cancer drug cytotoxicity

Cancer Research

Smaranda Bacanu

Ying Yu Liang

Anderson D Ramos

Nayana Prabhu

Pär Nordlund

2022/6/15

Method for identifying a biomarker indicative of a reduced drug response using a thermal shift assay

2022/10/25

Engineering Disulphide-Free Autonomous Antibody VH Domains to modulate intracellular pathways

Yuri Frosi

Yen-Chu Lin

Shimin Jiang

Siti Radhiah Ramlan

Kelly Hew Hew

...

2022/2/25

Engineering an autonomous VH domain to modulate intracellular pathways and to interrogate the eIF4F complex

Nature communications

Yuri Frosi

Yen-Chu Lin

Jiang Shimin

Siti Radhiah Ramlan

Kelly Hew

...

2022/8/18

Identification of an inhibitory pocket in falcilysin bound by chloroquine provides a new avenue for malaria drug development

J Dziekan

J Lin

AE Sahili

NEB Zulkifli

J Boentoro

...

2022/2/9

Correction: Mutant p53-reactivating compound APR-246 synergizes with asparaginase in inducing growth suppression in acute lymphoblastic leukemia cells

Cell Death & Disease

Sophia Ceder

Sofi E Eriksson

Ying Yu Liang

Emarndeena H Cheteh

Si Min Zhang

...

2022/8/3

Cyclednn-a novel deep neural network model for cetsa feature prediction cross cell lines

Zeng Zeng

Shenghao Zhao

Qing Da

Peisheng Qian

Tam Wai Leong

...

2022/7/11

Recent advances in proteome‐wide label‐free target deconvolution for bioactive small molecules

Jichao Sun

Nayana Prabhu

Jun Tang

Fan Yang

Lin Jia

...

2021/11

Target identification and validation of natural products with label-free methodology: A critical review from 2005 to 2020

Lingyun Dai

Zhijie Li

Dan Chen

Lin Jia

Jinan Guo

...

2020/12/1

New ideas for non-animal approaches to predict repeated-dose systemic toxicity: Report from an EPAA Blue Sky Workshop

Regulatory Toxicology and Pharmacology

Catherine Mahony

Randolph S Ashton

Barbara Birk

Alan R Boobis

Tom Cull

...

2020/7/1

Cellular thermal shift assay for the identification of drug–target interactions in the Plasmodium falciparum proteome

Nature Protocols

Jerzy Michal Dziekan

Grennady Wirjanata

Lingyun Dai

Ka Diam Go

Han Yu

...

2020/6

CETSA in integrated proteomics studies of cellular processes

Nayana Prabhu

Lingyun Dai

Pär Nordlund

2020/2/1

See List of Professors in Par Nordlund University(Karolinska Institutet)