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Genetics

D-Index
66
Citations
35554
World Ranking
2563
National Ranking
1139

Overview

Debora S. Marks is affiliated with Harvard University in the United States. Their research spans multiple disciplines within biochemistry, genetics, and molecular biology, with a particular emphasis on molecular biology and genetics. They have also contributed extensively to the intersection of artificial intelligence with biomedical sciences.

The primary fields of study in their research include:

  • Biochemistry, Genetics and Molecular Biology

Their work further focuses on several subfields, including:

  • Molecular Biology
  • Genetics
  • Artificial Intelligence
  • Infectious Diseases
  • Radiology, Nuclear Medicine and Imaging

Key research topics covered in their publications consist of:

  • Genomics and Phylogenetic Studies
  • RNA and protein synthesis mechanisms
  • Protein Structure and Dynamics
  • Machine Learning in Bioinformatics
  • Evolution and Genetic Dynamics
  • Genomics and Rare Diseases
  • Monoclonal and Polyclonal Antibodies Research

Marks has published a substantial number of papers across multiple renowned scientific venues. Among the most frequent are:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Nature
  • Nature Communications
  • arXiv (Cornell University)

Recent significant papers include:

  • Scientific discovery in the age of artificial intelligence, 2023, Nature
  • Disease variant prediction with deep generative models of evolutionary data, 2021, Nature
  • Protein design and variant prediction using autoregressive generative models, 2021, Nature Communications
  • A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories, 2023, Nature Medicine
  • Machine learning for functional protein design, 2024, Nature Biotechnology

Frequent co-authors who have collaborated with Marks include:

  • Chris Sander
  • Pascal Notin
  • Joseph Min
  • Kelly P. Brock
  • Nathan Rollins

Best Publications

  • Human MicroRNA Targets

    Bino John;Anton James Enright;Anton James Enright;Alexei Aravin;Thomas Tuschl

  • MicroRNA targets in Drosophila

    Anton J Enright;Bino John;Ulrike Gaul;Thomas Tuschl

  • The microRNA.org resource: targets and expression

    Doron Betel;Manda Wilson;Aaron P Gabow;Debora S. Marks

  • Identification of Virus-Encoded MicroRNAs

    Sébastien Pfeffer;Mihaela Zavolan;Friedrich A. Grässer;Minchen Chien

  • Direct-coupling analysis of residue coevolution captures native contacts across many protein families

    Faruck Morcos;Andrea Pagnani;Bryan Lunt;Arianna Bertolino

  • Protein 3D structure computed from evolutionary sequence variation.

    Debora S. Marks;Lucy J. Colwell;Robert Sheridan;Thomas A. Hopf

  • The small RNA profile during Drosophila melanogaster development

    Alexei A. Aravin;Mariana Lagos-Quintana;Abdullah Yalcin;Mihaela Zavolan

  • miR-122, a mammalian liver-specific microRNA, is processed from hcr mRNA and may downregulate the high affinity cationic amino acid transporter CAT-1.

    Jinhong Chang;Emmanuelle Nicolas;Debora Marks;Chris Sander

  • Protein structure prediction from sequence variation

    Debora S Marks;Thomas A Hopf;Chris Sander

  • miRcode: A map of putative microRNA target sites in the long non-coding transcriptome

    Ashwini Jeggari;Debora S Marks;Erik Larsson

  • Mutation effects predicted from sequence co-variation.

    Thomas A Hopf;John B Ingraham;Frank J Poelwijk;Charlotta P I Schärfe;Charlotta P I Schärfe

  • Transfection of small RNAs globally perturbs gene regulation by endogenous microRNAs

    Aly A Khan;Doron Betel;Martin L Miller;Martin L Miller;Chris Sander

  • Three-dimensional structures of membrane proteins from genomic sequencing.

    Thomas A. Hopf;Lucy J. Colwell;Robert Sheridan;Burkhard Rost

  • Deep generative models of genetic variation capture the effects of mutations.

    Adam J. Riesselman;John B. Ingraham;Debora S. Marks

  • MicroRNA profiling of the murine hematopoietic system

    Silvia Monticelli;Silvia Monticelli;K Mark Ansel;Changchun Xiao;Nicholas D Socci

  • Sequence co-evolution gives 3D contacts and structures of protein complexes

    Thomas A Hopf;Charlotta P I Schärfe;Charlotta P I Schärfe;João P G L M Rodrigues;Anna G Green

  • Disease variant prediction with deep generative models of evolutionary data.

    Jonathan Frazer;Pascal Notin;Mafalda Dias;Aidan Gomez

  • Quantification of the effect of mutations using a global probability model of natural sequence variation

    Thomas A. Hopf;John B. Ingraham;Frank J. Poelwijk;Michael Springer

  • The developmental miRNA profiles of zebrafish as determined by small RNA cloning

    Po Yu Chen;Heiko Manninga;Krasimir Slanchev;Minchen Chien

  • MicroRNA control of protein expression noise

    Jörn M. Schmiedel;Jörn M. Schmiedel;Jörn M. Schmiedel;Sandy L. Klemm;Yannan Zheng;Apratim Sahay

Frequent Co-Authors

Chris Sander
Chris Sander Harvard University
Andrew C. Kruse
Andrew C. Kruse Harvard University
Thomas Tuschl
Thomas Tuschl Rockefeller University
Oliver Kohlbacher
Oliver Kohlbacher University of Tübingen
Thomas G. Bernhardt
Thomas G. Bernhardt Harvard University
Anton J. Enright
Anton J. Enright University of Cambridge
Alexandre M. J. J. Bonvin
Alexandre M. J. J. Bonvin Utrecht University
Kenneth T. Douglas
Kenneth T. Douglas University of Manchester
Robert L. Sheridan
Robert L. Sheridan Harvard University
Alexei A. Aravin
Alexei A. Aravin California Institute of Technology

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