Frank von Delft

Frank von Delft

University of Oxford

H-index: 53

Europe-United Kingdom

About Frank von Delft

Frank von Delft, With an exceptional h-index of 53 and a recent h-index of 39 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of Protein Crystallography, Fragment-based approaches, Crystallographic Computing, Synchrotron radiation, Robotics.

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

A community effort in SARS‐CoV‐2 drug discovery

Learnt representations of proteins can be used for accurate prediction of small molecule binding sites on experimentally determined and predicted protein structures

Fragmenstein: predicting protein-ligand structures of compounds derived from known crystallographic fragment hits using a strict conserved-binding–based methodology

Efficient large-scale exploration of fragment hit progression by exploiting binding-site purification of actives (B-SPA) through combining multi-step array synthesis and HT …

Fragment library screening by X-ray crystallography and binding site analysis on thioredoxin glutathione reductase of Schistosoma mansoni

Crystallographic fragment screen of Enterovirus D68 3C protease and iterative design of lead-like compounds using structure-guided expansions

Crystallographic Fragment Screen of Coxsackievirus A16 2A Protease identifies new opportunities for the development of broad-spectrum anti-enterovirals

High-throughput crystallographic fragment screening of Zika virus NS3 Helicase

Frank von Delft Information

University

Position

Principal Investigator: Protein Crystallography SGC

Citations(all)

9865

Citations(since 2020)

5371

Cited By

6132

hIndex(all)

53

hIndex(since 2020)

39

i10Index(all)

127

i10Index(since 2020)

95

Email

University Profile Page

Google Scholar

Frank von Delft Skills & Research Interests

Protein Crystallography

Fragment-based approaches

Crystallographic Computing

Synchrotron radiation

Robotics

Top articles of Frank von Delft

Learnt representations of proteins can be used for accurate prediction of small molecule binding sites on experimentally determined and predicted protein structures

Journal of Cheminformatics

2024/3/14

Frank Von Delft
Frank Von Delft

H-Index: 34

Fragmenstein: predicting protein-ligand structures of compounds derived from known crystallographic fragment hits using a strict conserved-binding–based methodology

2024/2/26

Stefan Gahbauer
Stefan Gahbauer

H-Index: 5

Frank Von Delft
Frank Von Delft

H-Index: 34

Efficient large-scale exploration of fragment hit progression by exploiting binding-site purification of actives (B-SPA) through combining multi-step array synthesis and HT …

2024/2/9

Fragment library screening by X-ray crystallography and binding site analysis on thioredoxin glutathione reductase of Schistosoma mansoni

Scientific Reports

2024/1/18

Anil Verma
Anil Verma

H-Index: 2

Frank Von Delft
Frank Von Delft

H-Index: 34

Crystallographic fragment screen of Enterovirus D68 3C protease and iterative design of lead-like compounds using structure-guided expansions

bioRxiv

2024

Siyi Wang
Siyi Wang

H-Index: 16

Frank Von Delft
Frank Von Delft

H-Index: 34

Crystallographic Fragment Screen of Coxsackievirus A16 2A Protease identifies new opportunities for the development of broad-spectrum anti-enterovirals

bioRxiv

2024

Siyi Wang
Siyi Wang

H-Index: 16

Frank Von Delft
Frank Von Delft

H-Index: 34

High-throughput crystallographic fragment screening of Zika virus NS3 Helicase

Acta Crystallographica Section A: Foundations and Advances

2018/8/22

Crystallographic fragment screening delivers diverse chemical scaffolds for Zika virus NS2B-NS3 protease inhibitor development

bioRxiv

2024

A selection of Golden Gate vectors to simplify recombinant protein production in Escherichia coli

bioRxiv

2024

Eleanor Williams
Eleanor Williams

H-Index: 1

Frank Von Delft
Frank Von Delft

H-Index: 34

Targeting LC3/GABARAP for degrader development and autophagy modulation

bioRxiv

2023

CoPriNet: graph neural networks provide accurate and rapid compound price prediction for molecule prioritisation

Digital Discovery

2023

Ruben Sanchez-Garcia
Ruben Sanchez-Garcia

H-Index: 8

Frank Von Delft
Frank Von Delft

H-Index: 34

Full wwPDB X-ray Structure Validation Report i

2023

Allosteric regulation and crystallographic fragment screening of SARS-CoV-2 NSP15 endoribonuclease

Nucleic Acids Research

2023/6/9

Fragment merging using a graph database samples different catalogue space than similarity search

Journal of Chemical Information and Modeling

2023/5/25

A small step toward generalizability: training a machine learning scoring function for structure-based virtual screening

Journal of Chemical Information and Modeling

2023/5/11

Illuminating the druggable genome through patent bioactivity data

PeerJ

2023/5/2

Turning high-throughput structural biology into predictive inhibitor design

Proceedings of the National Academy of Sciences

2023/3/14

See List of Professors in Frank von Delft University(University of Oxford)

Co-Authors

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