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FfAME Our Team Steven Benner
Steven Benner

Distinguished Fellow

Steven Benner

Steven Benner heads the Foundation for Applied Molecular Evolution, which he founded after serving on the faculty at Harvard, ETH Zurich, and University of Florida. His research combines two traditions in science, one from natural history, the other from the physical sciences.
  • (386) 418-8085
  • 20+

Research Summary

With hundreds of years of combined experience, the Benner group has:

Initiated synthetic biology as a field. The Benner group was the first to synthesize a gene for an enzyme, and used organic synthesis to prepare the first artificial genetic systems. These systems have been used to direct the synthesis of artificial proteins having unnatural amino acids, in FDA-approved clinical assays for HIV, hepatitis B and hepatitis C that improves the medical care of over 400,000 patients annually, and to support the first artificial chemical system capable of Darwinian evolution.

Invented dynamic combinatorial chemistry, combining ideas from molecular evolution, enzymology, analytical chemistry, and organic chemistry to generate a strategy to discover small molecule therapeutic leads. A German company, Alantos, is today using this technology to develop drug leads.

Established paleomolecular biology, where researchers resurrect ancestral proteins from extinct organisms for study in the laboratory, The strategy allows scientists to connect chemistry to function in biology, which is defined by an organism's fitness in a complex and changing environment.

Helped found evolutionary bioinformatics, in 1991, launched one of the first web-based bioinformatics servers with Gaston Gonnet, generated the first naturally organized protein sequence databases, and helped develop the MasterCatalog that generated ca. $4 million in sales. This work also supported the first exhaustive matching of a modern protein sequence database, the first convincing tools to predict structure in proteins from sequence data, strategies to detect distant homologs using structure prediction, and "post-genomic" tools to detect changing protein function.

Research Focus:
  • Chemical genetics
  • Synthetic biology
  • Paleogenetics
  • Planetary biology
  • Systems biology
  • The connection of natural history to the physical sciences
Education:
  • BS in Molecular Biophysics and Biochemistry. Yale University (1976)
  • MS in Molecular Biophysics and Biochemistry. Yale University (1976)
  • PhD in Chemistry. Harvard University (1979)
Awards:
  • National Science Foundation Graduate Fellow
  • Junior Fellowship, Harvard Society of Fellows
  • Dreyfus Award for Young Faculty, 1982
  • Searle Scholar, 1984-86
  • Sloan Foundation Fellow, 1984-86
  • Anniversary Prize, Federation of European Biochemical Societies, 1993
  • Nolan Summer Award, 1998
  • Arun Gunthikonda Memorial Award, 1998
  • Townes R. Leigh Commemorative Professor, 1999
  • B. R. Baker Award, 2001
  • Sigma Xi Senior Faculty Award 2005
  • Fellow of the American Association for the Advancement of Science (Biology) 2015
  • Honoris Causa, University of Croatia, Romania 2016
  • Fellow of the International Society for the Study of the Origin of Life (ISSOL) 2017

Publications

Brazzill, M., Ma, R., Munn, K., Prestifilippo, L., Pickford, A.R., Kim, H.J., Chen, C., Hoshika, S., Benner, S.A., Rusling, D.A. Nat. Commun., Nature (2026) PMC12934894, doi: 10.1038/s41467-026-74375-4

The sequence-specific recognition of double-stranded DNA by biocompatible molecules is fundamental to molecular medicine and synthetic biology. Triplex-forming oligonucleotides (TFOs) enable programmable major groove recognition via Hoogsteen base pairing; however, the limited repertoire of natural nucleobases imposes strict constraints on target sequences and parallel motif triplexes require acidic conditions for stability. Here, we have expanded the triplex recognition space using nucleobases from an artificially expanded genetic information system (AEGIS). Through a systematic evaluation of 120 base triad combinations, we identify at least 12 modular triads that can be combined interchangeably to target duplex DNA containing standard, damaged, or synthetic base pairs with nanomolar affinity at neutral pH. We further demonstrate the versatility of this expanded recognition code by detecting oxidative lesions or AEGIS base pairs in enzymatically assembled duplex constructs using both chemically and enzymatically synthesized TFOs. This generalized framework provides a robust platform for precision gene-targeting, molecular sensing, and nucleic acid nanotechnology.

Leal, N., Benner, S.A. US Patent, United States Patent Office (2026) US Patent 12624374, Issued 5/12/2026

Benner, S.A., Schulze-Makuch, D., Spacek, J., Abraham, C. Astrobiology 26 (2) 148-153 (2026) PMID: 41468165, doi: 10.1177/15311074251404929

Gas chromatography-mass spectrometry data from the Viking Mars mission were misinterpreted in 1976 as showing that martian soils contain no organic molecules, and therefore no life, even though the three life detection experiments delivered by Viking all reported life-positive data under the terms of their experimental design. This mistake has been propagated for a half century, including in textbooks and National Aeronautics and Space Administration-endorsed documents, even though it has been known since 2009 that the martian soils contained perchlorate, perchlorate destroys organic materials in ways that might generate the GC-MS results, and Curiosity in 2013 observed such processes in Gale crater on Mars, as have other rovers since. Anomalies in the propagated misinterpretation, including a contradiction between the “strong martian soil oxidant” hypothesis and quantitative results in the carbon assimilation experiment, were “explained away” in 1976, in some cases by invoking results of experiments that had not yet been done. Today, a scientific back-and-forth is long overdue to develop an understanding of what Viking revealed about the possibility of life on the near surface of Mars. Starting this back-and-forth here, we note how the Viking results are compatible with a soil that contains bacterial autotrophs that respire with stored oxygen on Mars (BARSOOM), a lifestyle adapted to its environment, including sparse resources that drive dormancy, scarce atmospheric oxygen, and a cold and briny fluid only intermittently available, perhaps, when the water-ice fogs seen by Viking indicate that the relative humidity exceeds 100%.

Takahashi, Y., Kim, H.-J., Benner, S.A., Kakegawa, T., Furukawa, Y. Astrobiology 26 (2) 99-107 (2026) PMID: 41693553, doi: 10.1177/15311074261417882

Under the RNA first hypothesis for the origin of life, RNA that emerges from prebiotic chemistry performed both catalytic and informational roles. Ribose is the only sugar in RNA; thus, many have sought to understand how ribose might have emerged on a prebiotic Earth. Ribose can be formed from formaldehyde with small amounts of glycolaldehyde by formose-like processes. However, under the strongly alkaline conditions of the reaction, ribose is consumed as it is formed. Here, we show that borate significantly decreases the consumption of the ribose formed in the formose reaction, which results in higher amounts of ribose that remained as the reaction progressed. Given a longer timescale of prebiotic chemical reactions governed by geological processes, borate-rich environments could have contributed to accumulating ribose on prebiotic Earth. Borate could be available on proto-continents and is known to contribute to ribonucleoside synthesis, ribose 5-phosphate synthesis, and nucleoside phosphorylation. Therefore, such environments might have promoted chemical reactions to RNA.

Zhou, K., Hoshika, S., Cheng, J., Lin, C., Benner, S.A., Ke, Y. Science Advances 12 (4), AAAS (2026) PMC12822630, doi: 10.1126/sciadv.aeb67

DNA nanotechnology has created nanostructures with astonishing complexity. However, with nanostructures becoming increasingly larger and more intricate, they have become more difficult to obtain in high yields and quality. Expanding the alphabet beyond the canonical base pairs can therefore be the key to push the technology to the next level. Here, we describe examples of DNA nanostructures built from an “anthropogenic evolvable genetic information system (AEGIS).” Because AEGIS uses the same backbone as DNA, the existing rules for designing DNA nanostructures can be readily applied to AEGIS nanostructures, which also show greater stability, both thermal and enzymatic, greater control over autonomous assembly, and good phase separation. AEGIS can have as many as 12 different units and six different pairs with Watson-Crick-Franklin geometry. Thus, if further developed, then these nanostructures may represent a previously unexplored frontier in DNA nanoscience and nanotechnology, expanding the space of “soft” biomaterial design.
All My Publications