World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
63
Citations
68691
World Ranking
9937
National Ranking
757

Overview

Roman A. Laskowski is affiliated with the European Bioinformatics Institute in the United Kingdom. Their research focuses extensively on biochemistry, genetics, and molecular biology, with a specialization in molecular biology as well as related subfields such as materials chemistry, genetics, computational theory and mathematics, and spectroscopy.

The scientist's work covers several main topics:

  • Protein Structure and Dynamics
  • RNA and protein synthesis mechanisms
  • Enzyme Structure and Function
  • Genomics and Rare Diseases
  • Computational Drug Discovery Methods
  • Machine Learning in Bioinformatics
  • Genomics and Chromatin Dynamics

Roman A. Laskowski has contributed to various recent papers, including the following:

  • A structural biology community assessment of AlphaFold2 applications, 2022, Nature Structural & Molecular Biology
  • AlphaFold heralds a data-driven revolution in biology and medicine, 2021, Nature Medicine
  • A structural biology community assessment of AlphaFold 2 applications, 2021, bioRxiv (Cold Spring Harbor Laboratory)
  • PDBsum extras: SARS-CoV-2 and AlphaFold models, 2021, Protein Science
  • PDBsum1: A standalone program for generating PDBsum analyses, 2022, Protein Science

Their publication record also reveals frequent collaboration with several authors, such as:

  • Janet M. Thornton
  • Neera Borkakoti
  • Pedro Beltrão
  • James Stephenson
  • Mehmet Akdel

Roman A. Laskowski's research outputs have appeared predominantly in well-known venues, including:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Protein Science
  • Nature Structural & Molecular Biology
  • Nature Medicine
  • Blood

Best Publications

  • PROCHECK: a program to check the stereochemical quality of protein structures

    R. A. Laskowski;M. W. MacArthur;D. S. Moss;J. M. Thornton

  • AQUA and PROCHECK-NMR: programs for checking the quality of protein structures solved by NMR

    R A Laskowski;J A Rullmannn;M W MacArthur;R Kaptein

  • LIGPLOT: a program to generate schematic diagrams of protein-ligand interactions

    Andrew C. Wallace;Roman A. Laskowski;Janet M. Thornton

  • LigPlot+: multiple ligand-protein interaction diagrams for drug discovery.

    Roman A. Laskowski;Mark B. Swindells

  • Main-chain bond lengths and bond angles in protein structures.

    Roman A. Laskowski;David S. Moss;Janet M. Thornton

  • SURFNET: a program for visualizing molecular surfaces, cavities, and intermolecular interactions.

    Roman A. Laskowski

  • PDBsum: Structural summaries of PDB entries

    Roman A. Laskowski;Jagoda Jabłońska;Lukáš Pravda;Radka Svobodová Vařeková

  • Amino acid–base interactions: a three-dimensional analysis of protein–DNA interactions at an atomic level

    Nicholas M. Luscombe;Roman A. Laskowski;Janet M. Thornton

  • PDBsum: summaries and analyses of PDB structures

    Roman A. Laskowski

  • ProFunc: a server for predicting protein function from 3D structure

    Roman A. Laskowski;James D. Watson;Janet M. Thornton

  • PDBsum: a web-based database of summaries and analyses of all PDB structures

    Roman A. Laskowski;E.Gail Hutchinson;Alex D. Michie;Andrew C. Wallace

  • PDBsum new things.

    Roman A. Laskowski

  • A genome-wide meta-analysis identifies 22 loci associated with eight hematological parameters in the HaemGen consortium

    Nicole Soranzo;Nicole Soranzo;Tim D Spector;Massimo Mangino;Brigitte Kühnel

  • Protein clefts in molecular recognition and function.

    R. A. Laskowski;N. M. Luscombe;M. B. Swindells;J. M. Thornton

  • PDBsum more: new summaries and analyses of the known 3D structures of proteins and nucleic acids

    Roman A. Laskowski;Victor V. Chistyakov;Janet M. Thornton

  • Predicting protein ligand binding sites by combining evolutionary sequence conservation and 3D structure.

    John A. Capra;Roman A. Laskowski;Janet M. Thornton;Mona Singh

  • CATH: comprehensive structural and functional annotations for genome sequences

    Ian Sillitoe;Tony E. Lewis;Alison L. Cuff;Sayoni Das

  • Predicting protein function from sequence and structural data.

    James D Watson;Roman A Laskowski;Janet M Thornton

  • Derivation of 3D coordinate templates for searching structural databases: application to Ser-His-Asp catalytic triads in the serine proteinases and lipases.

    Andrew C. Wallace;Roman A. Laskowski;Janet M. Thornton

  • PROCHECK: validation of protein-structure coordinates

    R. A. Laskowski;M. W. MacArthur;J. M. Thornton

Frequent Co-Authors

Janet M. Thornton
Janet M. Thornton European Bioinformatics Institute
Aled M. Edwards
Aled M. Edwards Structural Genomics Consortium
Andrzej Joachimiak
Andrzej Joachimiak Argonne National Laboratory
Christine A. Orengo
Christine A. Orengo University College London
Alexei Savchenko
Alexei Savchenko University of Calgary
Cheryl H. Arrowsmith
Cheryl H. Arrowsmith Structural Genomics Consortium
Rongguang Zhang
Rongguang Zhang Chinese Academy of Sciences
Nicholas M. Luscombe
Nicholas M. Luscombe The Francis Crick Institute
Youngchang Kim
Youngchang Kim Argonne National Laboratory
Ian Sillitoe
Ian Sillitoe University College London

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