Deep scaffold hopping with multimodal transformer neural networks

Deep Residual Learning for Image Recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren et al. · 2016 · 214.9K citations · Full text

Image Classification, Deep Neural Networks, Machine Vision +14

AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading

Oleg Trott, Arthur J. Olson · Journal of Computational Chemistry · 2009 · 35.1K citations · Full text

Rectified Linear Units Improve Restricted Boltzmann Machines

Vinod Nair, Geoffrey E. Hinton · International Conference on Machine Learning · 2010 · 13.2K citations

Convolutional Neural Network, Engineering, Machine Learning +18

Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences

Weizhong Li, Adam Godzik · Bioinformatics · 2006 · 11.6K citations · Full text

Cluster Computing, Engineering, Molecular Biology +23

Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Jun‐Young Chung, Çaǧlar Gülçehre, Kyunghyun Cho et al. · arXiv (Cornell University) · 2014 · 10.7K citations · Full text

Music, Structured Prediction, Engineering +17