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Mohammed AlQuraishi

columbia university

26H指数
66论文数
4.3K被引数
收录论文 22
发表时间
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Predicting specificity of TCR-pMHC interactions using machine-learning and biophysical models利用机器学习和生物物理模型预测TCR-pMHC相互作用的特异性
errCell Systems
IF7.7
err2026-08-13
err0
PREAI
errMartin Culka; Nicolas W. Lounsbury; William Thrift; Santrupti Nerli; Andrew Wallace; Gergő Nikolényi; Darya Orlova; Kiran Mukhyala; Mohammed AlQuraishi
err分享
err收藏
Author Correction: Biophysical prediction of protein–peptide interactions and signaling networks using machine learning作者更正: 使用机器学习对蛋白质-肽相互作用和信号网络进行生物物理预测
errNature Methods
IF32.1
err2026-05-21
err0
PREAI
errJoseph M. Cunningham; Grigoriy Koytiger; Peter K. Sorger; Mohammed AlQuraishi
err分享
err收藏
AlphaFold as a prior: experimental structure determination conditioned on a pretrained neural networkAlphaFold作为先验: 以预训练的神经网络为条件的实验结构确定
errNature Methods
IF32.1
err2026-04-01
err0
PREAI
errAlisia Fadini; Minhuan Li; Airlie J. McCoy; Suresh Banjara; Hiroki Okumura; Eve Napier; Pietro Fontana; Amir R. Khan; Luca Jovine; Thomas C. Terwilliger; Randy J. Read; Doeke R. Hekstra; Mohammed AlQuraishi
err分享
err收藏
Redefining druggable targets with artificial intelligence利用人工智能重新定义可成药性靶点
errNature Biotechnology
IF41.7
err2025-08-19
err0
PREAI
errKaren Akinsanya; Mohammed AlQuraishi; Ann Boija; John Chodera; Anna Cichońska; Marzyeh Ghassemi; Martha Head; Wengong Jin; Warren A. Kibbe; Nevan Krogan; Michael V. LeVine; John Moult; Lynda Stuart; Georgia Tourassi; James Zou; Regina Barzilay; Olivier Elemento
err分享
err收藏
Mapping variant effects on anti-tumor hallmarks of primary human T cells with base-editing screens
errNATURE BIOTECHNOLOGY
IF41.7
err2024-05-23
err5
PREAI
errWalsh, Zachary H.; Shah, Parin; Kothapalli, Neeharika; Shah, Shivem B.; Nikolenyi, Gergo; Brodtman, D. Zack; Leuzzi, Giuseppe; Rogava, Meri; Mu, Michael; Ho, Patricia; Abuzaid, Sinan; Vasan, Neil; Alquraishi, Mohammed; Milner, Joshua D.; Ciccia, Alberto; Melms, Johannes C.; Izar, Benjamin
err分享
err收藏
OpenFold: retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalizationOpenFold: 重新训练AlphaFold2对其学习机制和泛化能力产生了新的见解
errNATURE METHODS
IF32.1
err2024-05-14
err37
errOAAI
errAhdritz, Gustaf; Bouatta, Nazim; Floristean, Christina; Kadyan, Sachin; Xia, Qinghui; Gerecke, William; O'Donnell, Timothy J.; Berenberg, Daniel; Fisk, Ian; Zanichelli, Niccolo; Zhang, Bo; Nowaczynski, Arkadiusz; Wang, Bei; Stepniewska-Dziubinska, Marta M.; Zhang, Shang; Ojewole, Adegoke; Guney, Murat Efe; Biderman, Stella; Watkins, Andrew M.; Ra, Stephen; Lorenzo, Pablo Ribalta; Nivon, Lucas; Weitzner, Brian; Ban, Yih-En Andrew; Chen, Shiyang; Zhang, Minjia; Li, Conglong; Song, Shuaiwen Leon; He, Yuxiong; Sorger, Peter K.; Mostaque, Emad; Zhang, Zhao; Bonneau, Richard; AlQuraishi, Mohammed
err分享
err收藏
A Hybrid Structure-Based Machine Learning Approach for Predicting Kinase Inhibition by Small Molecules一种基于混合结构的机器学习方法，用于预测小分子对激酶的抑制
errJOURNAL OF CHEMICAL INFORMATION AND MODELING
IF5.3
err2023-08-18
err6
errOAAI
errLiu, Changchang; Kutchukian, Peter; Nguyen, Nhan D.; AlQuraishi, Mohammed; Sorger, Peter K.
err分享
err收藏
High-throughput deep learning variant effect prediction with Sequence UNET基于序列UNET的高通量深度学习变异效应预测
errGENOME BIOLOGY
IF9.4
err2023-05-09
err12
errOAAI
errDunham, Alistair S.; Beltrao, Pedro; AlQuraishi, Mohammed
err分享
err收藏
Structural biology at the scale of proteomes
errNATURE STRUCTURAL & MOLECULAR BIOLOGY
IF10.1
err2023-02-16
err8
errOAAI
errBouatta, Nazim; AlQuraishi, Mohammed
err分享
err收藏
Single-sequence protein structure prediction using a language model and deep learning (Oct, 10.1038/s41587-022-01432-w, 2022)
errNATURE BIOTECHNOLOGY
IF41.7
err2022-10-17
err5
errOAAI
errChowdhury, Ratul; Bouatta, Nazim; Biswas, Surojit; Floristean, Christina; Kharkar, Anant; Roy, Koushik; Rochereau, Charlotte; Ahdritz, Gustaf; Zhang, Joanna; Church, George M.; Sorger, Peter K.; AlQuraishi, Mohammed
err分享
err收藏
Single-sequence protein structure prediction using a language model and deep learning基于语言模型和深度学习的单序列蛋白质结构预测
errNATURE BIOTECHNOLOGY
IF41.7
err2022-10-03
err177
errOAAI
errChowdhury, Ratul; Bouatta, Nazim; Biswas, Surojit; Floristean, Christina; Kharkare, Anant; Roye, Koushik; Rochereau, Charlotte; Ahdritz, Gustaf; Zhang, Joanna; Church, George M.; Sorger, Peter K.; AlQuraishi, Mohammed
err分享
err收藏
Machine learning in protein structure prediction
errCURRENT OPINION IN CHEMICAL BIOLOGY
IF6.1
err2021-12-01
err148
errOAAI
errAlQuraishi, Mohammed
err分享
err收藏
Differentiable biology: using deep learning for biophysics-based and data-driven modeling of molecular mechanisms可区分生物学: 使用深度学习进行基于生物物理学和数据驱动的分子机制建模
errNATURE METHODS
IF32.1
err2021-10-04
err53
errOAAI
errAlQuraishi, Mohammed; Sorger, Peter K.
err分享
err收藏
Protein-structure prediction revolutionized蛋白质结构预测革命
errNATURE
IF48.5
err2021-08-23
err21
PREAI
errAlQuraishi, Mohammed
err分享
err收藏
Protein-structure prediction gets real
errNATURE
IF48.5
err2020-01-15
err16
PREAI
errAlQuraishi, Mohammed
err分享
err收藏
Biophysical prediction of protein-peptide interactions and signaling networks using machine learning使用机器学习的蛋白质-肽相互作用和信号网络的生物物理预测
errNATURE METHODS
IF32.1
err2020-01-06
err63
errOAAI
errCunningham, Joseph M.; Koytiger, Grigoriy; Sorger, Peter K.; AlQuraishi, Mohammed
err分享
err收藏
Unified rational protein engineering with sequence-based deep representation learning基于序列的深度表示学习的统一理性蛋白质工程
errNATURE METHODS
IF32.1
err2019-10-21
err645
errOAAI
errAlley, Ethan C.; Khimulya, Grigory; Biswas, Surojit; AlQuraishi, Mohammed; Church, George M.
err分享
err收藏
End-to-End Differentiable Learning of Protein Structure蛋白质结构的端到端可微分学习
errCELL SYSTEMS
IF7.7
err2019-04-01
err266
errOAAI
errAlQuraishi, Mohammed
err分享
err收藏
Parallelized Natural Extension Reference Frame: Parallelized Conversion from Internal to Cartesian Coordinates
errJOURNAL OF COMPUTATIONAL CHEMISTRY
IF4.8
err2019-01-07
err11
errOAAI
errAlQuraishi, Mohammed
err分享
err收藏
Reproducibility will only come with data liberation
errSCIENCE TRANSLATIONAL MEDICINE
IF14.6
err2016-05-18
err5
errOAAI
errAlQuraishi, Mohammed; Sorger, Peter K.
err分享
err收藏

研究方向

暂时未获取到该数据
合作学者
合作期刊
G
George M. Church
H 指数: 190 · 论文数: 1.3K
P
Peter K. Sorger
H 指数: 117 · 论文数: 865
O
Olivier Elemento
H 指数: 117 · 论文数: 1.7K
I
I. Fisk
H 指数: 96 · 论文数: 736
R
Richard Bonneau
H 指数: 90 · 论文数: 502
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