World's Best Scientists 2026 revealed!

D-Index & Metrics

Molecular Biology

D-Index
72
Citations
17454
World Ranking
1325
National Ranking
676

Research.com Recognitions

  • 2001 - Fellow of the Indian National Academy of Engineering (INAE)
  • 2000 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Charles DeLisi is affiliated with Boston University in the United States and focuses research primarily within the field of Biochemistry, Genetics and Molecular Biology. Their work spans several interconnected subfields including Molecular Biology, Biomedical Engineering, Ecology, Modeling and Simulation, and Economics and Econometrics.

The scientist has contributed significantly to topics such as gut microbiota and health, bioinformatics and genomic networks, advanced chemical sensor technologies, microbial community ecology and physiology, COVID-19 epidemiological studies, COVID-19 pandemic impacts, and microbial metabolism and enzyme function.

Frequent co-authors in their research include Daniel Segrè, Dileep Kishore, Gabriel Bîrzu, Zhenjun Hu, and Kirill S. Korolev.

Charles DeLisi's recent publications highlight diverse interests in synthetic biology and microbial ecology. Notable papers include:

  • The Role of Synthetic Biology in Atmospheric Greenhouse Gas Reduction: Prospects and Challenges, 2020, BioDesign Research
  • Inferring microbial co-occurrence networks from amplicon data: a systematic evaluation, 2023, mSystems
  • Predictions for Europe for the Covid-19 pandemic from a SIR model, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • Analysis of Covid-19 Data for Eight European Countries and the United Kingdom Using a Simplified SIR Model, 2020, Research Square (Research Square)

Their work has appeared frequently in publication venues such as bioRxiv (Cold Spring Harbor Laboratory), Zenodo (CERN European Organization for Nuclear Research), BioDesign Research, mSystems, and Research Square (Research Square).

In addition to journal publications, Charles DeLisi has contributed to book literature with a publication titled The Mysterious Commonplace in 2021, published by World Scientific.

Their recognized achievements include being named a Fellow of the Indian National Academy of Engineering (INAE) in 2001 and a Fellow of the American Association for the Advancement of Science (AAAS) in 2000.

Best Publications

  • The detection and classification of membrane-spanning proteins

    Petr Klein;Minoru Kanehisa;Charles DeLisi

  • Hydrophobicity scales and computational techniques for detecting amphipathic structures in proteins

    James L. Cornette;Kemp B. Cease;Hanah Margalit;John L. Spouge

  • T-cell antigenic sites tend to be amphipathic structures.

    Charles Delisi;Jay A. Berzofsky

  • Determination of atomic desolvation energies from the structures of crystallized proteins.

    Chao Zhang;George Vasmatzis;James L Cornette;Charles DeLisi

  • Prediction of immunodominant helper T cell antigenic sites from the primary sequence.

    H Margalit;J L Spouge;J L Cornette;K B Cease

  • An immunodominant epitope of the human immunodeficiency virus envelope glycoprotein gp160 recognized by class I major histocompatibility complex molecule-restricted murine cytotoxic T lymphocytes.

    Hidemi Takahashi;Joseph Cohen;Anne Hosmalin;Kemp B. Cease

  • Two complementary methods for predicting peptides binding major histocompatibility complex molecules.

    Kamalakar Gulukota;John Sidney;Alessandro Sette;Charles DeLisi

  • VisANT: An Online Visualization and Analysis Tool for Biological Interaction Data

    Zhenjun Hu;Joseph C. Mellor;Jie Wu;Charles DeLisi

  • Interaction between proteins localized in membranes

    Bruce Grasberger;Allen P. Minton;Charles Delisi;Henry Metzger

  • Gene set enrichment analysis: performance evaluation and usage guidelines

    Jui-Hung Hung;Tun Hsiang Yang;Zhenjun Hu;Zhiping Weng

  • Genome-wide prioritization of disease genes and identification of disease-disease associations from an integrated human functional linkage network.

    Bolan Linghu;Evan S Snitkin;Zhenjun Hu;Yu Xia

  • Identification of a MicroRNA Panel for Clear-cell Kidney Cancer

    David Juan;Gabriela Alexe;Travis Antes;Huiqing Liu

  • Helper T-cell antigenic site identification in the acquired immunodeficiency syndrome virus gp120 envelope protein and induction of immunity in mice to the native protein using a 16-residue synthetic peptide.

    K B Cease;H Margalit;J L Cornette;S D Putney

  • Free energy landscapes of encounter complexes in protein-protein association.

    Carlos J. Camacho;Zhiping Weng;Sandor Vajda;Charles DeLisi

  • High expression of lymphocyte-associated genes in node-negative HER2+ breast cancers correlates with lower recurrence rates.

    Gabriela Alexe;Gul S. Dalgin;Daniel Scanfeld;Pablo Tamayo

  • VisANT 3.5: multi-scale network visualization, analysis and inference based on the gene ontology

    Zhenjun Hu;Jui-Hung Hung;Yan Wang;Yi Chien Chang

  • VisANT: data-integrating visual framework for biological networks and modules.

    Zhenjun Hu;Joe Mellor;Jie Wu;Takuji Yamada

  • Genes linked by fusion events are generally of the same functional category: A systematic analysis of 30 microbial genomes

    Itai Yanai;Adnan Derti;Charles DeLisi

  • Genome-Wide Association Studies

    Gang Zheng;Yaning Yang;Xiaofeng Zhu;Robert C. Elston

  • Predictome: a database of putative functional links between proteins

    Joseph C. Mellor;Itai Yanai;Karl H. Clodfelter;Julian Mintseris

Frequent Co-Authors

Sandor Vajda
Sandor Vajda Boston University
Zhiping Weng
Zhiping Weng University of Massachusetts Chan Medical School
Jay A. Berzofsky
Jay A. Berzofsky National Institutes of Health
Hanah Margalit
Hanah Margalit Hebrew University of Jerusalem
Minoru Kanehisa
Minoru Kanehisa Kyoto University
Simon Kasif
Simon Kasif Boston University
Itai Yanai
Itai Yanai New York University
George Vasmatzis
George Vasmatzis Mayo Clinic
Shridar Ganesan
Shridar Ganesan Rutgers, The State University of New Jersey
Pablo Tamayo
Pablo Tamayo University of California, San Diego

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