![\"A](\"\/\/media.nature.com\/w800\/magazine-assets\/d41586-019-00277-9\/d41586-019-00277-9_16430132.jpg\")
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Dangerous pathogens are kept in high-security labs, but some experts worry that terrorists could find new ways to obtain these organisms.<\/span>Credit: Anna Schroll\/Fotogloria\/UIG via Getty<\/p>\n<\/figcaption><\/figure>\n Biologists the world over routinely pay companies to synthesize snippets of DNA for use in the laboratory or clinic. But intelligence experts and scientists alike have worried for years that bioterrorists could hijack such services to build dangerous viruses and toxins \u2014 perhaps by making small changes in a genetic sequence to evade security screening without changing the DNA\u2019s function.<\/p>\n Now, the US government is backing efforts that use machine learning to detect whether a DNA sequence encodes part of a dangerous pathogen. Researchers are beginning to make progress towards designing artificial-intelligence-based screening tools, and several groups are presenting early results at the American Society for Microbiology (ASM) Biothreats meeting in Arlington, Virginia, on 31 January. Their findings could lead to a better understanding of how pathogens harm the body, as well as new ways for scientists to link DNA sequences to specific biological functions.<\/p>\n \u201cIn the past, you\u2019d take the pathogen, lock it up and put an army in front of it and you\u2019d be fine,\u201d says Omar Tabbaa, director of computational biotechnology at Battelle, a technology-development company in Columbus, Ohio.<\/p>\n But Tabbaa says that the decreasing cost and difficulty of DNA engineering has changed the nature of biosecurity threats. Anyone who wants a specific piece of DNA can have the string of letters, called bases, synthesized for pennies per base. In 2006, reporters at\u00a0The<\/i>\u00a0Guardian<\/i>newspaper in the United Kingdom paid a DNA-synthesis company to make part of the smallpox virus, prompting\u00a0calls from governments and scientists for stricter screening measures<\/a>.<\/p>\n <\/p>\n Letter by letter<\/strong><\/p>\n In 2009, several of the largest DNA-synthesis firms formed a consortium to create standardized procedures for checking sequences submitted by their customers against databases of known pathogens. If the automated screening flags up a sequence, the company can check whether the customer is a legitimate researcher before synthesizing the DNA.<\/p>\n But these existing programs pick out only the parts of sequences that exactly match those of known pathogens. A smart terrorist could fool the system by changing a few bases in DNA from a virus or a gene that produces a toxin, or even by designing an entirely new pathogen that does not exist in nature. Compounding the problem, the databases themselves are often riddled with errors, owing to differences in the way that DNA is sequenced.<\/p>\n With this in mind, in 2016, the US Intelligence Advanced Research Projects Agency (IARPA) launched an initiative to design better algorithms for spotting potentially threatening sequences. Five teams from industry and academia are competing in the programme, says its manager, John Julias. The agency declined to disclose the programme’s budget.<\/p>\n By 2020, the teams are expected to have developed a way to determine, in less than two weeks, whether an unknown sequence poses a threat. That will be a difficult task, says Andrew Warren, a software engineer at the University of Virginia in Charlottesville. \u201cWe have to be able to recognize any organism on the planet and also its molecular function.\u201d<\/p>\n <\/p>\n Common threads<\/strong><\/p>\n Warren\u2019s team is designing a program that compares 40 million records of sequences from 90,000 microbial species. The algorithm learns to recognize the DNA sequences of known toxins and pathogens, identifies their common characteristics and then searches for similar sequences in other organisms. The work that his team is presenting at the ASM meeting is in its early stages, although Warren says that the algorithm can already reliably predict which type of organism a sequence comes from.<\/p>\n Tabbaa, whose team at Battelle is developing a similar algorithm using sequences from both public and proprietary databases, says that computer algorithms could recognize commonalities among pathogens that people would miss. That will help programs to distinguish the important parts of a DNA sequence, and those that can be changed without affecting the pathogen\u2019s function. The goal is to pinpoint sections that could pose a security threat in an unknown sequence.<\/p>\n The Battelle team hopes that the program could also reveal new information about the basic biology of organisms \u2014 such as a universal DNA sequence that allows toxins or viruses to stick to cells. Tabbaa says that such discoveries could help researchers to develop new ways of rapidly diagnosing infections or improving biomanufacturing. \u201cWe think there\u2019s a whole slew of things to come out of this,\u201d he says.<\/p>\n But Rob Carlson, managing director at Bioeconomy Capital, a venture-capital firm in Seattle, Washington, is sceptical that stopping DNA-synthesis companies from being exploited will prevent bioterror attacks. \u201cIf you look at what sorts of biological threats have cropped up to date, this isn\u2019t one of them,\u201d he says. Most attacks have involved the release of existing pathogens grown in labs; in 2001, for instance,\u00a0five people in the United States died and 17 were sickened<\/a>\u00a0after receiving anthrax-laced letters.<\/p>\n Terrorists are more likely to follow the blueprint of published research, rather than embark on a research project to design new organisms, Carlson says. He fears that any government efforts to regulate DNA synthesis would push would-be bioterrorists underground.<\/p>\n IARPA declined to comment on whether the agency shared such concerns.<\/p>\n <\/p>\n <\/p>\n<\/div>\n <\/p>\n <\/p>\n (\uc6d0\ubb38: \uc5ec\uae30<\/a>\ub97c \ud074\ub9ad\ud558\uc138\uc694~)<\/p>\n <\/p>\n <\/p>\n <\/p>\n","protected":false},"excerpt":{"rendered":"