（24-25高一下·江苏连云港·期中）A team of scientists from Columbia University has developed an artificial intelligence (AI) tool called the General Expression Transformer (GET). This tool can predict how genes inside cells control their behavior. The breakthrough could help researchers better understand diseases like cancer and genetic disorders. It may also lead to new treatments designed for specific cells.
The scientists trained GET using methods similar to those behind ChatGPT, the popular language AI. While ChatGPT learns grammar and language rules, GET has learned how genes work — like turning on or off like a light switch or adjusting activity levels like a volume knob (音量旋钮). This process, called gene expression, decides which proteins a cell makes and in what amounts. Proteins are vital for nearly every body function, from fighting infections to moving and thinking.
Though still new, GET could become as important as AlphaFold2, an AI system that predicts protein shapes. AlphaFold2 won the 2023 Nobel Prize in Chemistry and has been updated to AlphaFold3. Both gene regulation(studied by GET) and protein structure(studied by AlphaFold) are important to life.
“Biology is becoming a predictive science,” said Raul Rabadan, a study author and director of Columbia’s Program for Mathematical Genomics. “We’ re witnessing a revolution (变革).”
Mark Gerstein, a Yale professor not involved in the study, noted that scientists have spent 15 — 20 years collecting data to predict gene behavior. GET uses this data to analyze genes faster and more effectively. While other scientific groups have trained models using abnormal cells such as those found in different cancers, Xi Fu, a graduate student in Rabadan’s lab, decided to train GET using information from cells in normal human tissue. The training used data from more than 1. 3 million cells, covering 213 different types found in the human body.
In the future, this breakthrough could help doctors design personalized treatments by predicting how a patient’s genes might respond to therapies. While more research is needed, GET represents an exciting step toward unlocking the mysteries of life.
67．How is GET different from ChatGPT?
A．It fights infections. B．It learns how genes work.
C．It won a Nobel Prize. D．It focuses on language rules.
68．What made AlphaFold2 famous?
A．Curing genetic disorders in patients. B．Analyzing data from 1. 3 million cells.
C．Discovering many new types of human cells. D．Winning a Nobel Prize for predicting protein shapes.
69．What is the author’s attitude toward the future of GET?
A．Subjective. B．Unclear. C．Positive. D．Cautious.
70．What can be a suitable title for the text?
A．An AI system predicts protein shapes. B．AI model is trained to predict gene activity.
C．Scientists is comparing GET with ChatGPT. D．The AI tool helps cure abnormal human cells.
【答案】67．B 68．D 69．C 70．B
【知识点】说明文、人工智能
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