PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence
Understanding

PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding

5 June 2022

Jian Tang

Papers citing "PEER: A Comprehensive and Multi-Task Benchmark for Protein Sequence Understanding"

16 / 16 papers shown

Title
Leveraging State Space Models in Long Range Genomics Matvei Popov Aymen Kallala Anirudha Ramesh Narimane Hennouni Shivesh Khaitan Rick Gentry Alain-Sam Cohen Mamba 65 0 0 07 Apr 2025
A Survey of Graph Transformers: Architectures, Theories and Applications Chaohao Yuan Kangfei Zhao Ercan Engin Kuruoglu Liang Wang Tingyang Xu Wenbing Huang Deli Zhao Hong Cheng Yu Rong 57 4 0 23 Feb 2025
Leveraging Large Language Models to Predict Antibody Biological Activity Against Influenza A Hemagglutinin Ella Barkan Ibrahim Siddiqui Kevin J. Cheng Alex Golts Yoel Shoshan J. Weber Yailin Campos Mota Michal Ozery-Flato Giuseppe A. Sautto AI4CE 58 0 0 02 Feb 2025
MAMMAL -- Molecular Aligned Multi-Modal Architecture and Language Yoel Shoshan Moshiko Raboh Michal Ozery-Flato Vadim Ratner Alex Golts ... Sharon Kurant Joseph A. Morrone Parthasarathy Suryanarayanan Michal Rosen-Zvi Efrat Hexter 31 1 0 28 Oct 2024
Metalic: Meta-Learning In-Context with Protein Language Models Jacob Beck Shikha Surana Manus McAuliffe Oliver Bent Thomas D. Barrett Juan Jose Garau Luis Paul Duckworth AI4CE 35 0 0 10 Oct 2024
DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning Jiaqing Xie Yue Zhao 38 0 0 02 Oct 2024
Protein-Mamba: Biological Mamba Models for Protein Function Prediction Bohao Xu Yingzhou Lu Yoshitaka Inoue Namkyeong Lee Tianfan Fu Jintai Chen Mamba 31 1 0 22 Sep 2024
Evaluating representation learning on the protein structure universe Arian R. Jamasb Alex Morehead Chaitanya K. Joshi Zuobai Zhang Kieran Didi ... Charles Harris Jian Tang Jianlin Cheng Pietro Lio Tom L. Blundell SSL 48 12 0 19 Jun 2024
SciKnowEval: Evaluating Multi-level Scientific Knowledge of Large Language Models Kehua Feng Keyan Ding Weijie Wang Xiang Zhuang Zeyuan Wang Ming Qin Yu Zhao Jianhua Yao Qiang Zhang H. Chen ELM 45 6 0 13 Jun 2024
Kermut: Composite kernel regression for protein variant effects Peter Mørch Groth Mads Herbert Kerrn Lars Olsen Jesper Salomon Wouter Boomsma 42 2 0 09 Apr 2024
HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multitask Learning Rong Han Wenbing Huang Lingxiao Luo Xinyan Han Jiaming Shen Qing Cui Jun Zhou Ting Chen 47 2 0 02 Apr 2024
A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications Jiaqi Han Jiacheng Cen Liming Wu Zongzhao Li Xiangzhe Kong ... Zhewei Wei Deli Zhao Yu Rong Wenbing Huang Wenbing Huang AI4CE 34 20 0 01 Mar 2024
ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts Minghao Xu Xinyu Yuan Santiago Miret Jian Tang AI4TS 27 95 0 28 Jan 2023
Ankh: Optimized Protein Language Model Unlocks General-Purpose Modelling Ahmed Elnaggar Hazem Essam Wafaa Salah-Eldin Walid Moustafa Mohamed Elkerdawy Charlotte Rochereau B. Rost 167 87 0 16 Jan 2023
Contrastive Representation Learning for 3D Protein Structures Pedro Hermosilla Timo Ropinski 3DV 51 51 0 31 May 2022
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 299 6,984 0 20 Apr 2018