Tian Cai, Li Xie, Muge Chen, Yang Liu, Di He, Shuo Zhang, Cameron Mura, Philip Bourne, Lei Xie. Res Sq 2021
Times Cited: 1
Times Cited: 1
List of co-cited articles
articles co-cited >1
Times Cited
Times Co-cited
Similarity
From flamingo dance to (desirable) drug discovery: a nature-inspired approach.
Aminael Sánchez-Rodríguez, Yunierkis Pérez-Castillo, Stephan C Schürer, Orazio Nicolotti, Giuseppe Felice Mangiatordi, Fernanda Borges, M Natalia D S Cordeiro, Eduardo Tejera, José L Medina-Franco, Maykel Cruz-Monteagudo. Drug Discov Today 2017
Aminael Sánchez-Rodríguez, Yunierkis Pérez-Castillo, Stephan C Schürer, Orazio Nicolotti, Giuseppe Felice Mangiatordi, Fernanda Borges, M Natalia D S Cordeiro, Eduardo Tejera, José L Medina-Franco, Maykel Cruz-Monteagudo. Drug Discov Today 2017
100
A retrosynthetic analysis algorithm implementation.
Ian A Watson, Jibo Wang, Christos A Nicolaou. J Cheminform 2019
Ian A Watson, Jibo Wang, Christos A Nicolaou. J Cheminform 2019
100
Accurate prediction of protein structures and interactions using a three-track neural network.
Minkyung Baek, Frank DiMaio, Ivan Anishchenko, Justas Dauparas, Sergey Ovchinnikov, Gyu Rie Lee, Jue Wang, Qian Cong, Lisa N Kinch, R Dustin Schaeffer,[...]. Science 2021
Minkyung Baek, Frank DiMaio, Ivan Anishchenko, Justas Dauparas, Sergey Ovchinnikov, Gyu Rie Lee, Jue Wang, Qian Cong, Lisa N Kinch, R Dustin Schaeffer,[...]. Science 2021
100
Challenges with multi-objective QSAR in drug discovery.
George Lambrinidis, Anna Tsantili-Kakoulidou. Expert Opin Drug Discov 2018
George Lambrinidis, Anna Tsantili-Kakoulidou. Expert Opin Drug Discov 2018
100
100
Highly accurate protein structure prediction with AlphaFold.
John Jumper, Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, Olaf Ronneberger, Kathryn Tunyasuvunakool, Russ Bates, Augustin Žídek, Anna Potapenko,[...]. Nature 2021
John Jumper, Richard Evans, Alexander Pritzel, Tim Green, Michael Figurnov, Olaf Ronneberger, Kathryn Tunyasuvunakool, Russ Bates, Augustin Žídek, Anna Potapenko,[...]. Nature 2021
100
Novel computational approaches to polypharmacology as a means to define responses to individual drugs.
Lei Xie, Li Xie, Sarah L Kinnings, Philip E Bourne. Annu Rev Pharmacol Toxicol 2012
Lei Xie, Li Xie, Sarah L Kinnings, Philip E Bourne. Annu Rev Pharmacol Toxicol 2012
100
Systemic QSAR and phenotypic virtual screening: chasing butterflies in drug discovery.
Maykel Cruz-Monteagudo, Stephan Schürer, Eduardo Tejera, Yunierkis Pérez-Castillo, José L Medina-Franco, Aminael Sánchez-Rodríguez, Fernanda Borges. Drug Discov Today 2017
Maykel Cruz-Monteagudo, Stephan Schürer, Eduardo Tejera, Yunierkis Pérez-Castillo, José L Medina-Franco, Aminael Sánchez-Rodríguez, Fernanda Borges. Drug Discov Today 2017
100
Molecular de-novo design through deep reinforcement learning.
Marcus Olivecrona, Thomas Blaschke, Ola Engkvist, Hongming Chen. J Cheminform 2017
Marcus Olivecrona, Thomas Blaschke, Ola Engkvist, Hongming Chen. J Cheminform 2017
100
Estimation of the size of drug-like chemical space based on GDB-17 data.
P G Polishchuk, T I Madzhidov, A Varnek. J Comput Aided Mol Des 2013
P G Polishchuk, T I Madzhidov, A Varnek. J Comput Aided Mol Des 2013
100
Activity cliffs in drug discovery: Dr Jekyll or Mr Hyde?
Maykel Cruz-Monteagudo, José L Medina-Franco, Yunierkis Pérez-Castillo, Orazio Nicolotti, M Natália D S Cordeiro, Fernanda Borges. Drug Discov Today 2014
Maykel Cruz-Monteagudo, José L Medina-Franco, Yunierkis Pérez-Castillo, Orazio Nicolotti, M Natália D S Cordeiro, Fernanda Borges. Drug Discov Today 2014
100
Performance of virtual screening against GPCR homology models: Impact of template selection and treatment of binding site plasticity.
Mariama Jaiteh, Ismael Rodríguez-Espigares, Jana Selent, Jens Carlsson. PLoS Comput Biol 2020
Mariama Jaiteh, Ismael Rodríguez-Espigares, Jana Selent, Jens Carlsson. PLoS Comput Biol 2020
100
A deep learning framework for high-throughput mechanism-driven phenotype compound screening and its application to COVID-19 drug repurposing.
Thai-Hoang Pham, Yue Qiu, Jucheng Zeng, Lei Xie, Ping Zhang. Nat Mach Intell 2021
Thai-Hoang Pham, Yue Qiu, Jucheng Zeng, Lei Xie, Ping Zhang. Nat Mach Intell 2021
100
GuacaMol: Benchmarking Models for de Novo Molecular Design.
Nathan Brown, Marco Fiscato, Marwin H S Segler, Alain C Vaucher. J Chem Inf Model 2019
Nathan Brown, Marco Fiscato, Marwin H S Segler, Alain C Vaucher. J Chem Inf Model 2019
100
Challenges, applications, and recent advances of protein-ligand docking in structure-based drug design.
Sam Z Grinter, Xiaoqin Zou. Molecules 2014
Sam Z Grinter, Xiaoqin Zou. Molecules 2014
100
Diversity oriented Deep Reinforcement Learning for targeted molecule generation.
Tiago Pereira, Maryam Abbasi, Bernardete Ribeiro, Joel P Arrais. J Cheminform 2021
Tiago Pereira, Maryam Abbasi, Bernardete Ribeiro, Joel P Arrais. J Cheminform 2021
100
MSA-Regularized Protein Sequence Transformer toward Predicting Genome-Wide Chemical-Protein Interactions: Application to GPCRome Deorphanization.
Tian Cai, Hansaim Lim, Kyra Alyssa Abbu, Yue Qiu, Ruth Nussinov, Lei Xie. J Chem Inf Model 2021
Tian Cai, Hansaim Lim, Kyra Alyssa Abbu, Yue Qiu, Ruth Nussinov, Lei Xie. J Chem Inf Model 2021
100
Pfam: The protein families database in 2021.
Jaina Mistry, Sara Chuguransky, Lowri Williams, Matloob Qureshi, Gustavo A Salazar, Erik L L Sonnhammer, Silvio C E Tosatto, Lisanna Paladin, Shriya Raj, Lorna J Richardson,[...]. Nucleic Acids Res 2021
Jaina Mistry, Sara Chuguransky, Lowri Williams, Matloob Qureshi, Gustavo A Salazar, Erik L L Sonnhammer, Silvio C E Tosatto, Lisanna Paladin, Shriya Raj, Lorna J Richardson,[...]. Nucleic Acids Res 2021
100
Molecular Design in Synthetically Accessible Chemical Space via Deep Reinforcement Learning.
Julien Horwood, Emmanuel Noutahi. ACS Omega 2020
Julien Horwood, Emmanuel Noutahi. ACS Omega 2020
100
Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.