MIT researchers use artificial intelligence to identify powerful new antibiotic

In brief: Researchers at MIT are harnessing the power of artificial intelligence to create powerful new drugs capable of killing disease-causing bacteria, some of which are resistant to all known types of antibiotics.

Only a small number of new antibiotics have been developed over the past few decades due to the cost and time associated with screening them. In fact, most newly approved antibiotics are simply minor variants of existing drugs. But now thanks to the power of artificial intelligence and the growing need to fend off antibiotic-resistant bacteria, that is changing.

Researchers at MIT created a machine learning model to look for chemical features that make molecules effective at killing E. coli, training it on around 1,700 FDA-approved drugs and 800 natural products. Once trained, the model was tested on the Broad Institute’s Drug Repurposing Hub which consists of around 6,000 compounds.

The model honed in on a molecule that it predicted to have strong antibacterial properties and a chemical structure that differed from existing antibiotics. A separate machine learning model indicated it might also have low toxicity to human cells.

MIT researchers use artificial intelligence to identify powerful new antibiotic 1

The molecule, which they dubbed halicin after the computer “HAL” in 2001: A Space Odyssey, was tested against dozens of strains of bacteria and found to be effective in eradicating many of them including Acinetobacter baumannii, Clostridium difficile and Mycobacterium tuberculosis.

In mice infected with a particular strain of A. baumannii that is resistant to all known antibiotics, halicin completely cleared up infections within 24 hours.

Researchers believe halicin kills bacteria by rattling its ability to maintain an electrochemical connection across cell membranes. This gradient is necessary to produce ATP and without it, the cells die. What’s more, it proved effective against mutations.

Over a 30-day period, E.coli didn’t develop any resistance to halicin. In comparison, the bacteria developed resistance to the antibiotic ciprofloxacin within one to three days. By day 30, the bacteria was roughly 200 times more resistant to ciprofloxacin than it was initially.

The researchers’ model has since been used to identify 23 other candidates, two of which were particularly powerful against bacteria. They plan to conduct additional testing on halicin and work with a nonprofit or pharmaceutical company to develop it for human use.

Masthead credit: Antibiotics by ESB Professional.

About the author

E-Crypto News was developed to assist all cryptocurrency investors in developing profitable cryptocurrency portfolios through the provision of timely and much-needed information. Investments in cryptocurrency require a level of detail, sensitivity, and accuracy that isn’t required in any other market and as such, we’ve developed our databases to help fill in information gaps.

Related Posts

E-Crypto News Executive Interviews

Crypto Scams

The Largest Crypto Scams Of 2022 (So Far)
The Largest Crypto Scams Of 2022 (So Far)
June 14, 2022
How Do Scammers Entice Their Prey?
May 10, 2022
Beanstalk Farms Loses $80M In A Massive DeFi Governance Flash-Loan Hack
Beanstalk Farms Loses $80M In A Massive DeFi Governance Flash-Loan Hack
April 23, 2022
Joon Pak Head of Crypto at Prove talks to Us about Crypto Fraud And More
April 11, 2022
Mintable CEO Zach Burks Talks to Us about the Opensea Stolen NFTs and Their Recovery
March 21, 2022

Automated trading with HaasBot Crypto Trading Bots

Blockchain/Cryptocurrency Questions and Answers

Roundtable Interview-What is the Effect of The Russia-Ukraine War on Cryptocurrency Prices?
March 4, 2022
How Does Bitcoin Casino Work + 2021 Beginner’s Guide
November 8, 2021
How to Buy and Sell Cryptocurrency
November 8, 2021
What Are Bitcoin Futures And How Will They Work In 2022?
November 4, 2021
The Unconventional Guide to Ethereum
October 28, 2021

CryptoCurrencyUSDChange 1hChange 24hChange 7d
Bitcoin21,417 0.23 % 1.99 % 4.61 %
Ethereum1,228.8 0.20 % 6.36 % 12.96 %
Tether1.001 0.04 % 0.13 % 0.01 %
USD Coin0.9989 0.16 % 0.08 % 0.04 %
BNB238.52 0.68 % 2.20 % 10.35 %
XRP0.3707 0.08 % 3.03 % 15.01 %
Binance USD1.002 0.24 % 0.04 % 0.09 %
Cardano0.9566 0.22 % 0.68 % 6.96 %
Solana42.02 0.23 % 9.24 % 36.09 %
Polkadot8.240 0.09 % 2.83 % 12.48 %

Bitcoin (BTC) $ 21,420.00
Ethereum (ETH) $ 1,228.76
Tether (USDT) $ 1.00
USD Coin (USDC) $ 1.00
BNB (BNB) $ 238.76
XRP (XRP) $ 0.37043
Binance USD (BUSD) $ 1.00
Cardano (ADA) $ 0.502997
Solana (SOL) $ 41.90
Polkadot (DOT) $ 8.23