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人工智能与蛋白质科学的融合:2024年诺贝尔化学奖背后的蛋白质结构预测与设计革命
期刊论文
科学通报, 2025, 卷号: 70, 期号: 10, 页码: 1421-1427
作者:
刘沈徽
;
刘志杰
收藏
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浏览/下载:1/0
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提交时间:2025/04/25
artificial intelligence(AI)
protein structure prediction
Alpha Fold2
Nobel Prize in Chemistry
Conformational ensembles for protein structure prediction
期刊论文
SCIENTIFIC REPORTS, 2025, 卷号: 15, 期号: 1
作者:
Yang, Jiaan
;
Cheng, Wen Xiang
;
Zhang, Peng
;
Wu, Gang
;
Sheng, Si Tong
Adobe PDF(8201Kb)
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收藏
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浏览/下载:46/2
|
提交时间:2025/03/25
Protein structure prediction
Protein conformation
Protein folding
Intrinsically disordered protein
Protein intrinsic disorder
AlphaFold
A battery capacity trajectory prediction framework with mileage correction for electric buses
期刊论文
JOURNAL OF ENERGY STORAGE, 2025, 卷号: 110
作者:
Xu, Yifei
;
Yang, Hengzhao
Adobe PDF(2195Kb)
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收藏
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浏览/下载:48/2
|
提交时间:2025/02/12
Trajectories
Battery capacity
Battery capacity trajectory prediction
Electric bus
Feature engineerings
Field data
Mileage correction
Prediction errors
Sequence structure
Sequence-to-sequence structure
Trajectory prediction
Superconducting ternary hydrides in Ca-U-H under high pressure
期刊论文
JOURNAL OF PHYSICS CONDENSED MATTER, 2024, 卷号: 36, 期号: 16
作者:
Wu, Juefei
;
Zhu, Bangshuai
;
Ding, Chi
;
Pei, Cuiying
;
Wang, Qi
Adobe PDF(1773Kb)
|
收藏
|
浏览/下载:327/1
|
提交时间:2024/02/23
Actinides
Calcium compounds
Crystal structure
Electron-phonon interactions
Electronic density of states
Electrons
Hydrides
Crystals structures
Electronic.structure
First principle calculations
High pressure
Low pressures
Structure prediction
Structure property
Superconducting properties
Ternary compounds
Ternary hydrides
Multi-state Modeling of GPCRs at Experimental Accuracy via PromptGPCR
期刊论文
COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2024
作者:
Zhang KX(张可欣)
;
Sun ZG(孙志刚)
;
Zhang T(张涛)
;
Pang AQ(庞安琪)
;
Yu JL(虞佳乐)
Adobe PDF(962Kb)
|
收藏
|
浏览/下载:346/18
|
提交时间:2024/08/25
Structure prediction
GPCRs
Multi-state Modeling
AlphaFold-Multimer
Prompt
LoRA
Computing the relative binding affinity of ligands based on a pairwise binding comparison network
期刊论文
NATURE COMPUTATIONAL SCIENCE, 2023, 卷号: 3, 期号: 10, 页码: 860-872
作者:
Yu, Jie
;
Li, Zhaojun
;
Chen, Geng
;
Kong, Xiangtai
;
Hu, Jie
Adobe PDF(3742Kb)
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收藏
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浏览/下载:462/128
|
提交时间:2023/11/10
Binding energy
Computational efficiency
Structural optimization
Web services
Attention mechanisms
Comparison networks
Drug discovery
Fine tuning
Lead optimization
Network-based
Prediction accuracy
Relative binding affinity
Structure-based
Tuning operation
Uncertainty quantification of predicting stable structures for high-entropy alloys using Bayesian neural networks
期刊论文
JOURNAL OF ENERGY CHEMISTRY, 2023, 卷号: 81, 页码: 118-124
作者:
Zhou, Yonghui
;
Yang, Bo
Adobe PDF(1898Kb)
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收藏
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浏览/下载:327/0
|
提交时间:2023/04/07
Bayesian networks
Cobalt alloys
Density functional theory
Entropy
Forecasting
Neural networks
Uncertainty analysis
Wave functions
Application prospect
Bayesian neural networks
Configuration space
Energy
Energy prediction
High entropy alloys
Neural-networks
Stable structures
Structure screening
Uncertainty quantifications
Prediction of structural and phase transitions of Th2CN from ambient pressure to 100 GPa: A first-principles study
期刊论文
COMPUTATIONAL MATERIALS SCIENCE, 2022, 卷号: 210
作者:
Qiu, Qian
;
Liao, Zhiguang
;
Guo, Yongliang
;
Huai, Ping
;
Zhu, Zhiyuan
Adobe PDF(1889Kb)
|
收藏
|
浏览/下载:635/0
|
提交时间:2021/12/17
Bond strength (chemical)
Electronic structure
Forecasting
Nuclear fuels
Particle swarm optimization (PSO)
Phase diagrams
Thermodynamics
Ambient pressures
First principles
First-principle study
Geometrical structure
Particle swarm optimization method
Physical characteristics
Pressure ranges
Pressure-induced phase transition
Structure characteristic
Structure prediction
Ab initio investigation of pressure-induced structural transitions and electronic evolution of Th3N4
期刊论文
HIGH PRESSURE RESEARCH, 2020, 卷号: 40, 期号: 2, 页码: 267-282
作者:
Zhang, Yue
;
Guo, Yongliang
;
Liao, Zhiguang
;
Liu, Changdong
;
Huai, Ping
收藏
|
浏览/下载:322/0
|
提交时间:2020/06/01
Structure prediction
phase transitions
mechanical properties
electronic properties
first-principles calculations
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