2025年一遍过高中英语选择性必修第一册北师大版
注:目前有些书本章节名称可能整理的还不是很完善,但都是按照顺序排列的,请同学们按照顺序仔细查找。练习册 2025年一遍过高中英语选择性必修第一册北师大版 答案主要是用来给同学们做完题方便对答案用的,请勿直接抄袭。
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一、阅读理解
[2025 河北部分学校期中联考]The world was astonished when half of the Nobel Prize in Chemistry went to US scientist David Baker for "computational protein design" and the other half to Demis Hassabis and John M. Jumper in the UK for "protein structure prediction".
There is no doubt that they have made amazing breakthroughs. The Nobel Prize committee remarked that "they cracked the code for proteins' amazing structures". What attracted global attention was the fact that both Hassabis and Jumper come from DeepMind, which specializes in artificial intelligence, and they created an AI model that fundamentally changes the way to study a protein's structure.
It's notable that the AI model Hassabis and Jumper developed is central to understanding the structures of proteins, in which amino acids (氨基酸) are linked together in long chains and then fold in a manner that plays a decisive role in its functioning. Since the 1970s, researchers have been trying to predict protein structures from their amino acid sequences (序列) so as to gain a deeper understanding of their functions, for which they even launched Critical Assessment of Structure Prediction, which conducts community experiments in this regard.
For a long time the accuracy rate of predictions had been just about 40 percent, far below the required 90 percent. It was not until Hassabis and Jumper developed the AI model AlphaFold that the rate reached 60 percent, which has since got better with AlphaFold 2.
By understanding the three - dimensional structure of a protein, scientists can infer its role and how it interacts with other molecules (分子), which helps study diseases and develop new drugs. Besides, predicting protein structures helps in better comprehending the origins of life, which is linked to the Nobel Prize in Physiology that went to research into mRNA.
All these date back to Hassabis and Jumper's AlphaFold model developed decades ago. Clearly, AI has helped mankind by making endless computation a cakewalk, in the process quickening studies of the protein structures. The scientists who developed it deserve the prize as more scientists will be encouraged to study it.
1. What does the underlined word "cracked" in paragraph 2 probably mean?
A. Doubted.
B. Broke.
C. Defeated.
D. Acknowledged.
(
2. What caught the world's attention when Hassabis and Jumper won the Nobel Prize in Chemistry?
A. Their consistent cooperation in the AI field.
B. Their attempts at solving some AI problems.
C. Their contributions to computational protein design.
D. Their not coming from a chemistry - focused company.
(
3. With the AI model AlphaFold, scientists can ______.
A. study diseases and develop new drugs
B. conduct community experiments in the lab
C. predict proteins' structures more precisely
D. have more time to better comprehend the origins of life
(
4. What can we infer from the last two paragraphs?
A. AI models won't help make endless computation.
B. Scientists have understood the three - dimensional structure of a protein.
C. The structure of a protein interacts with other molecules in an active way.
D. Human beings' health will be improved with scientists' continuous efforts.
(
[2025 河北部分学校期中联考]The world was astonished when half of the Nobel Prize in Chemistry went to US scientist David Baker for "computational protein design" and the other half to Demis Hassabis and John M. Jumper in the UK for "protein structure prediction".
There is no doubt that they have made amazing breakthroughs. The Nobel Prize committee remarked that "they cracked the code for proteins' amazing structures". What attracted global attention was the fact that both Hassabis and Jumper come from DeepMind, which specializes in artificial intelligence, and they created an AI model that fundamentally changes the way to study a protein's structure.
It's notable that the AI model Hassabis and Jumper developed is central to understanding the structures of proteins, in which amino acids (氨基酸) are linked together in long chains and then fold in a manner that plays a decisive role in its functioning. Since the 1970s, researchers have been trying to predict protein structures from their amino acid sequences (序列) so as to gain a deeper understanding of their functions, for which they even launched Critical Assessment of Structure Prediction, which conducts community experiments in this regard.
For a long time the accuracy rate of predictions had been just about 40 percent, far below the required 90 percent. It was not until Hassabis and Jumper developed the AI model AlphaFold that the rate reached 60 percent, which has since got better with AlphaFold 2.
By understanding the three - dimensional structure of a protein, scientists can infer its role and how it interacts with other molecules (分子), which helps study diseases and develop new drugs. Besides, predicting protein structures helps in better comprehending the origins of life, which is linked to the Nobel Prize in Physiology that went to research into mRNA.
All these date back to Hassabis and Jumper's AlphaFold model developed decades ago. Clearly, AI has helped mankind by making endless computation a cakewalk, in the process quickening studies of the protein structures. The scientists who developed it deserve the prize as more scientists will be encouraged to study it.
1. What does the underlined word "cracked" in paragraph 2 probably mean?
A. Doubted.
B. Broke.
C. Defeated.
D. Acknowledged.
(
B
)2. What caught the world's attention when Hassabis and Jumper won the Nobel Prize in Chemistry?
A. Their consistent cooperation in the AI field.
B. Their attempts at solving some AI problems.
C. Their contributions to computational protein design.
D. Their not coming from a chemistry - focused company.
(
D
)3. With the AI model AlphaFold, scientists can ______.
A. study diseases and develop new drugs
B. conduct community experiments in the lab
C. predict proteins' structures more precisely
D. have more time to better comprehend the origins of life
(
C
)4. What can we infer from the last two paragraphs?
A. AI models won't help make endless computation.
B. Scientists have understood the three - dimensional structure of a protein.
C. The structure of a protein interacts with other molecules in an active way.
D. Human beings' health will be improved with scientists' continuous efforts.
(
D
)
答案:
1. B 2. D 3. C 4. D
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