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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
  • Florida Section of the American Chemical Society's Florida Award 2026

Publications

Li, Q., Kim, H.-J., Liu, Y., Oh, J., Hou, P., Hoshika, S., Pintilie, G., Aiyer, S., Chong, J., Lyumkis, D., Benner, S.A., Wang, D. Nat. Commun. 2 (17), Nature 9060 (2026) PMC13538358, doi: 10.6084/m9.figshare.32537382

Expanded genetic alphabets with synthetic nucleotides can greatly increase the chemical diversity of nucleic acids, enabling new molecular functions. Because cellular transcription is executed by multi-subunit RNA polymerases, the compatibility of unnatural base pairs with this machinery is essential for engineering expanded genetic systems. Here we demonstrate that Escherichia coli RNA polymerase efficiently transcribes an eight-letter genetic alphabet with two orthogonal unnatural base pairs: P:Z and B:S pairs. To overcome G:Z misincorporation, we synthesize a higher-fidelity analogue, termed Z*, in which the C5 nitro group is replaced with a carboxamide. To elucidate substrate-recognition mechanisms, we determine four cryo-electron microscopy structures of RNA polymerase incorporating dZ:PTP or dP:Z*TP at 2.42–2.75 Å resolution. These structures, together with our early work on S:B pair, show that E. coli RNA polymerase is able to efficiently recognize these unnatural base pairs in the same manner as natural base pairs. Collectively, these results establish the feasibility of an eight-letter genetic alphabet for transcription.

Spacek, J., Alpern, H., Dineen, T., Petkowski, J.J., Rizzo, G., Benner, S.A., Lui, M., Cockell, C., Eubanks, M., Schulze-Makuch, D., Temby, C., Richburg, M. Astrobiology (2026) PMID: 42489219, doi: 10.1177/15311074261471218

The International Mars Prospecting Ride-Share System (IMPRESS) is presented here as a scalable, democratized, and low-cost mission architecture for distributed measurements on the martian surface and in the shallow subsurface. IMPRESS is intended to prospect on Mars in advance of sample return and human exploration. Its primary objective is to survey Mars for extant life, but it also supports geophysical, soil chemistry, resource, and landing-site risk assessments. Instead of relying on soft landers and drilling systems, IMPRESS deploys swarms of planetary penetrators that use descent kinetic energy to emplace instruments 0.2-1 m below the surface. This architecture provides spatial coverage, measurement replication, and mission redundancy. This increases the chance of detecting unevenly distributed biosignatures and gives negative results stronger context. Small penetrator platforms with standardized design, power, and communication interfaces lower the cost per experiment. The probes operate as independent nodes within a network, which enables time-correlated atmospheric, seismic, and environmental measurements that support the broader Mars exploration campaign. Repeatable mission deployments can range from small rideshare implementations with tens of penetrators to larger dedicated campaigns with hundreds or more. We describe the IMPRESS mission architecture, penetrator platforms, compatible payload classes, and how distributed shallow-subsurface surveys reduce scientific and operational uncertainty before future Mars surface activities.

Laos, R., Benner, S.A. US Patent, United States Patent Office (2026) Patent 12698363, Issued 8/4/2026. Application No. 17835289, filed 6/8/2022

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
All My Publications