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Pedro J. Ballester

imperial college london

43H指数
170论文数
7.4K被引数
收录论文 44
发表时间
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Artificial Intelligence-Guided Phenotypic Drug Repurposing Against Streptococcus pneumoniae人工智能指导的肺炎链球菌表型药物重定位
errAdvanced Science
IF14.1
err2026-09-16
err0
errOAAI
errJoshua S. Fitch; Muhammad D. Ariadi; Min Jung Kwun; Leonie Howells; Saiveth Hernandez-Hernandez; Nicholas J. Croucher; Pedro J. Ballester
err分享
err收藏
Deconstructing biomarker generalisation failure in cancer anti-pd1 immunotherapy: toward adaptive patient stratification
errBriefings in Bioinformatics
IF7.7
err2025-12-12
err0
errOAAI
errElizabeth Amelia; Chayanit Piyawajanusorn; Pedro Ballester
err分享
err收藏
Target-specific machine-learning scoring functions enhance virtual screening for Pf DHODH inhibitors
errBriefings in Bioinformatics
IF7.7
err2025-12-12
err0
errOAAI
errKlaudia Caba; Pedro J Ballester
err分享
err收藏
Conformal prediction of molecule-induced cancer cell growth inhibition challenged by strong distribution shifts基于分子诱导的癌细胞生长抑制的共形预测面临强分布偏移的挑战
errPattern Recognition
IF7.6
err2025-09-24
err0
errOAAI
errSaiveth Hernandez-Hernandez; Qianrong Guo; Pedro J. Ballester
err分享
err收藏
A pan-cancer, pan-treatment model for predicting drug responses from patient-derived xenografts一种基于患者源性异种移植瘤的泛癌种、泛治疗方案药物反应预测模型
errNAR Genomics and Bioinformatics
IF2.8
err2025-08-28
err0
errOAAI
errShruti Gupta; Vikash K Mohani; Ghita Ghislat; Pedro J Ballester; Shandar Ahmad
err分享
err收藏
SCORCH2: A Generalized Heterogeneous Consensus Model for High-Enrichment Interaction-Based Virtual ScreeningSCORCH2：一种适用于高富集度交互式虚拟筛选的广义异构共识模型
errAdvanced Science
IF14.1
err2025-08-20
err0
errOAAI
errLin Chen; Vincent Blay; Pedro J. Ballester; Douglas R. Houston
err分享
err收藏
Data-centric challenges with the application and adoption of artificial intelligence for drug discovery应用和采用人工智能进行药物发现的以数据为中心的挑战
errEXPERT OPINION ON DRUG DISCOVERY
IF4.9
err2024-09-24
err2
PREAI
errGhislat, Ghita; Hernandez-Hernandez, Saiveth; Piwajanusorn, Chayanit; Ballester, Pedro J.
err分享
err收藏
Comprehensive machine learning boosts structure-based virtual screening for PARP1 inhibitors
errJOURNAL OF CHEMINFORMATICS
IF5.7
err2024-04-07
err4
errOAAI
errCaba, Klaudia; Tran-Nguyen, Viet-Khoa; Rahman, Taufiq; Ballester, Pedro J.
err分享
err收藏
A practical guide to machine-learning scoring for structure-based virtual screening
errNATURE PROTOCOLS
IF16
err2023-10-16
err23
PREAI
errTran-Nguyen, Viet-Khoa; Junaid, Muhammad; Simeon, Saw; Ballester, Pedro J.
err分享
err收藏
Beware of Simple Methods for Structure-Based Virtual Screening: The Critical Importance of Broader Comparisons
errJOURNAL OF CHEMICAL INFORMATION AND MODELING
IF5.3
err2023-02-27
err15
errOAAI
errTran-Nguyen, Viet-Khoa; Ballester, Pedro J.
err分享
err收藏
A machine learning approach to predict cellular uptake of pBAE polyplexes
errBIOMATERIALS SCIENCE
IF5.7
err2023-01-01
err8
errOAAI
errLoecher, Aparna; Bruyns-Haylett, Michael; Ballester, Pedro J.; Borros, Salvador; Oliva, Nuria
err分享
err收藏
Interpretable Machine Learning Models to Predict the Resistance of Breast Cancer Patients to Doxorubicin from Their microRNA Profiles可解释的机器学习模型，从microRNA谱预测乳腺癌患者对阿霉素的耐药性
errADVANCED SCIENCE
IF14.1
err2022-07-03
err14
errOAAI
errOgunleye, Adeolu Z.; Piyawajanusorn, Chayanit; Goncalves, Anthony; Ghislat, Ghita; Ballester, Pedro J.
err分享
err收藏
Characterizing the Relationship Between the Chemical Structures of Drugs and their Activities on Primary Cultures of Pediatric Solid Tumors
errCURRENT MEDICINAL CHEMISTRY
IF3.5
err2021-12-08
err5
errOAAI
errSimeon, Saw; Ghislat, Ghita; Ballester, Pedro
err分享
err收藏
Recent progress on the prospective application of machine learning to structure-based virtual screening
errCURRENT OPINION IN CHEMICAL BIOLOGY
IF6.1
err2021-12-01
err41
errOAAI
errGhislat, Ghita; Rahman, Taufiq; Ballester, Pedro J.
err分享
err收藏
Predicting Cancer Drug Response In Vivo by Learning an Optimal Feature Selection of Tumour Molecular Profiles
errBIOMEDICINES
IF3.9
err2021-09-26
err15
errOAAI
errNguyen, Linh C.; Naulaerts, Stefan; Bruna, Alejandra; Ghislat, Ghita; Ballester, Pedro J.
err分享
err收藏
Artificial intelligence for the next generation of precision oncology
errNPJ PRECISION ONCOLOGY
IF8
err2021-08-18
err17
errOAAI
errBallester, Pedro J.; Carmona, Javier
err分享
err收藏
A gentle introduction to understanding preclinical data for cancer pharmaco-omic modeling
errBRIEFINGS IN BIOINFORMATICS
IF7.7
err2021-08-06
err2
PREAI
errPiyawajanusorn, Chayanit; Nguyen, Linh C.; Ghislat, Ghita; Ballester, Pedro J.
err分享
err收藏
NF-κB-dependent IRF1 activation programs cDC1 dendritic cells to drive antitumor immunity
errSCIENCE IMMUNOLOGY
IF16.3
err2021-07-29
err74
errOAAI
errGhislat, Ghita; Cheema, Ammar S.; Baudoin, Elodie; Verthuy, Christophe; Ballester, Pedro J.; Crozat, Karine; Attaf, Noudjoud; Dong, Chuang; Milpied, Pierre; Malissen, Bernard; Auphan-Anezin, Nathalie; Manh, Thien P. Vu; Dalod, Marc; Lawrence, Toby
err分享
err收藏
Artificial intelligence for drug response prediction in disease models
errBRIEFINGS IN BIOINFORMATICS
IF7.7
err2021-01-01
err18
PREAI
errBallester, Pedro J.; Stevens, Rick; Haibe-Kains, Benjamin; Huang, R. Stephanie; Aittokallio, Tero
err分享
err收藏
In silicomolecular target prediction unveils mebendazole as a potent MAPK14 inhibitor
errMOLECULAR ONCOLOGY
IF4.5
err2020-10-18
err23
errOAAI
errAriey-Bonnet, Jeremy; Carrasco, Kendall; Le Grand, Marion; Hoffer, Laurent; Betzi, Stephane; Feracci, Mikael; Tsvetkov, Philipp; Devred, Francois; Collette, Yves; Morelli, Xavier; Ballester, Pedro; Pasquier, Eddy
err分享
err收藏

研究方向

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合作学者
合作期刊
J
Janet M. Thornton
H 指数: 135 · 论文数: 784
L
Linda Partridge
H 指数: 134 · 论文数: 859
T
Tatsuhiko Tsunoda
H 指数: 120 · 论文数: 593
B
Bernard Malissen
H 指数: 109 · 论文数: 820
W
William G. Richards
H 指数: 96 · 论文数: 527
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