Bissan Al‐Lazikani

ORCID: 0000-0003-3367-2519
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About
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Research Areas
  • Computational Drug Discovery Methods
  • Cancer, Lipids, and Metabolism
  • Lung Cancer Treatments and Mutations
  • Bioinformatics and Genomic Networks
  • Cancer Genomics and Diagnostics
  • Genetics, Bioinformatics, and Biomedical Research
  • Eicosanoids and Hypertension Pharmacology
  • Prostate Cancer Treatment and Research
  • Protein Structure and Dynamics
  • Cholesterol and Lipid Metabolism
  • Colorectal Cancer Treatments and Studies
  • Microbial Natural Products and Biosynthesis
  • Protein Degradation and Inhibitors
  • Heat shock proteins research
  • Cancer, Hypoxia, and Metabolism
  • Machine Learning in Bioinformatics
  • Pharmacogenetics and Drug Metabolism
  • Enzyme Structure and Function
  • Gene expression and cancer classification
  • Mass Spectrometry Techniques and Applications
  • Advanced Proteomics Techniques and Applications
  • RNA and protein synthesis mechanisms
  • Radiomics and Machine Learning in Medical Imaging
  • Click Chemistry and Applications
  • Monoclonal and Polyclonal Antibodies Research

The University of Texas MD Anderson Cancer Center
2022-2024

Institute of Cancer Research
2014-2023

Cancer Research UK
2012-2022

University of Cambridge
1997-2022

Institute of Cancer Research
2020-2022

European Bioinformatics Institute
2005-2011

Wellcome Trust
2005-2010

Biocompatibles (United Kingdom)
2008

Mundipharma (United Kingdom)
2004-2007

Imperial College London
2005

ChEMBL is an Open Data database containing binding, functional and ADMET information for a large number of drug-like bioactive compounds. These data are manually abstracted from the primary published literature on regular basis, then further curated standardized to maximize their quality utility across wide range chemical biology drug-discovery research problems. Currently, contains 5.4 million bioactivity measurements more than 1 compounds 5200 protein targets. Access available through...

10.1093/nar/gkr777 article EN cc-by-nc Nucleic Acids Research 2011-09-23

Schistosoma mansoni is responsible for the neglected tropical disease schistosomiasis that affects 210 million people in 76 countries. Here we present analysis of 363 megabase nuclear genome blood fluke. It encodes at least 11,809 genes, with an unusual intron size distribution, and new families micro-exon genes undergo frequent alternative splicing. As first sequenced flatworm, a representative Lophotrochozoa, it offers insights into early events evolution animals, including development...

10.1038/nature08160 article EN cc-by-nc-sa Nature 2009-07-01
Michael P. Menden Dennis Wang Mike J. Mason Bence Szalai Krishna C. Bulusu and 95 more Yuanfang Guan Thomas Yu Jaewoo Kang Minji Jeon Russ Wolfinger Tin Nguyen Mikhail Zaslavskiy Jordi Abante Barbara Schmitz Abecassis Nanne Aben Delasa Aghamirzaie Tero Aittokallio Farida S. Akhtari Bissan Al‐Lazikani Tanvir Alam Amin Allam Chad H. G. Allen Mariana Pelicano de Almeida Doaa Altarawy Vinícius M. Alves Alicia Amadoz Benedict Anchang Albert A. Antolín Jeremy R. Ash V. Aznar Wail Ba-Alawi Moeen Bagheri Vladimir B. Bajić G. C. Ball Pedro J. Ballester Delora Baptista Christopher Bare Mathilde Bateson Andreas Bender Denis Bertrand Bhagya K. Wijayawardena Keith A. Boroevich Evert Bosdriesz Salim Bougouffa Gergana Bounova Thomas Brouwer Barbara M. Bryant Manuel Calaza Alberto Calderone Stefano Calza Stephen J. Capuzzi José Carbonell‐Caballero Yichao Li Hannah Carter Luisa Castagnoli Remzi Çelebi Gianni Cesareni Hyeokyoon Chang Guocai Chen Hao Chen Huiyuan Chen Lijun Cheng Ariel Chernomoretz Davide Chicco Kwang‐Hyun Cho Sung‐Hwan Cho Daeseon Choi Jaejoon Choi Kwanghun Choi Min‐Soo Choi Martine De Cock Elizabeth A. Coker Isidro Cortés‐Ciriano Miklós Cserzö Cankut Çubuk Charles Curtis Dries Van Daele Cuong Cao Dang Tjeerd M. H. Dijkstra Joaquı́n Dopazo Sorin Drăghici Anastasios Drosou Michel Dumontier Friederike Ehrhart Fatma-Elzahraa Eid Mahmoud ElHefnawi Haitham Elmarakeby Bo van Engelen H. Billur Engin Iwan J. P. de Esch Chris T. Evelo André O. Falcão Sherif Farag Carlos Fernández-Lozano Kathleen M. Fisch Åsmund Flobak Chiara Fornari Amir Foroushani Donatien Chedom Fotso Denis Fourches

Abstract The effectiveness of most cancer targeted therapies is short-lived. Tumors often develop resistance that might be overcome with drug combinations. However, the number possible combinations vast, necessitating data-driven approaches to find optimal patient-specific treatments. Here we report AstraZeneca’s large combination dataset, consisting 11,576 experiments from 910 across 85 molecularly characterized cell lines, and results a DREAM Challenge evaluate computational strategies for...

10.1038/s41467-019-09799-2 article EN cc-by Nature Communications 2019-06-17

10.1038/s41588-018-0086-z article EN Nature Genetics 2018-04-13

canSAR (http://cansar.icr.ac.uk) is a publicly available, multidisciplinary, cancer-focused knowledgebase developed to support cancer translational research and drug discovery. integrates genomic, protein, pharmacological, chemical data with structural biology, protein networks druggability data. widely used rapidly access information help interpret experimental in discovery context. Here we describe major enhancements including new data, improved search browsing capabilities, disease cell...

10.1093/nar/gkv1030 article EN cc-by-nc Nucleic Acids Research 2015-12-15

canSAR (http://cansar.icr.ac.uk) is a public, freely available, integrative translational research and drug discovery knowlegebase. informs researchers to help solve key bottlenecks in cancer translation discovery. It integrates genomic, protein, pharmacological, chemical data with structural biology, protein networks unique, comprehensive orthogonal 'druggability' assessments. widely used internationally by academia industry. Here we describe major enhancements including new expanded data....

10.1093/nar/gky1129 article EN cc-by Nucleic Acids Research 2018-11-26

Abstract The Protein Data Bank in Europe-Knowledge Base (PDBe-KB, https://pdbe-kb.org) is a community-driven, collaborative resource for literature-derived, manually curated and computationally predicted structural functional annotations of macromolecular structure data, contained the (PDB). goal PDBe-KB two-fold: (i) to increase visibility reduce fragmentation contributed by specialist data resources, make these more findable, accessible, interoperable reusable (FAIR) (ii) place their...

10.1093/nar/gkz853 article EN cc-by Nucleic Acids Research 2019-10-01

One approach to identifying cancer-specific vulnerabilities and therapeutic targets is profile genetic dependencies in cancer cell lines. Here, we describe data from a series of siRNA screens that identify the kinase 117 lines ten types. By integrating screen with molecular profiling data, including exome sequencing show how vulnerabilities/genetic are associated mutations specific driver genes can be identified. additional sets into this analysis, protein-protein interaction also...

10.1016/j.celrep.2016.02.023 article EN cc-by Cell Reports 2016-03-01

Abstract Polypharmacology plays an important role in defining response and adverse effects of drugs. For some mechanisms, experimentally mapping polypharmacology is commonplace, although this typically done within the same protein class. Four PARP inhibitors have been approved by FDA as cancer therapeutics, yet a precise mechanistic rationale to guide clinicians on which choose for particular patient lacking. The four drugs largely similar family inhibition profiles, but several differences...

10.1038/s41598-020-59074-4 article EN cc-by Scientific Reports 2020-02-17

Abstract canSAR (http://cansar.icr.ac.uk) is the largest, public, freely available, integrative translational research and drug discovery knowledgebase for oncology. integrates vast multidisciplinary data from across genomic, protein, pharmacological, chemical with structural biology, protein networks more. It also provides unique data, curation annotation crucially, AI-informed target assessment discovery. widely used internationally by academia industry. Here we describe significant...

10.1093/nar/gkaa1059 article EN cc-by Nucleic Acids Research 2020-10-27

The Protein Data Bank in Europe - Knowledge Base (PDBe-KB, https://pdbe-kb.org) is an open collaboration between world-leading specialist data resources contributing functional and biophysical annotations derived from or relevant to the (PDB). goal of PDBe-KB place macromolecular structure their biological context by developing standardised exchange formats integrating partner into a knowledge graph that can provide valuable insights. Since we described 2019, there have been significant...

10.1093/nar/gkab988 article EN cc-by Nucleic Acids Research 2021-10-15

Abstract We describe the Chemical Probes Portal (https://www.chemicalprobes.org/), an expert review-based public resource to empower chemical probe assessment, selection and use. probes are high-quality small-molecule reagents, often inhibitors, that important for exploring protein function biological mechanisms, validating targets drug discovery. The publication, dissemination use of provide means accelerate functional annotation proteins, study proteins in cell biology, physiology, disease...

10.1093/nar/gkac909 article EN cc-by Nucleic Acids Research 2022-10-05
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