SeqProFT: Applying LoRA Finetuning for Sequence-only Protein Property Predictions

18 November 2024

Papers citing "SeqProFT: Applying LoRA Finetuning for Sequence-only Protein Property Predictions"

9 / 9 papers shown

Title
ProtST: Multi-Modality Learning of Protein Sequences and Biomedical Texts Minghao Xu Xinyu Yuan Santiago Miret Jian Tang AI4TS 82 105 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 228 102 0 16 Jan 2023
Protein Representation Learning by Geometric Structure Pretraining Zuobai Zhang Minghao Xu Arian R. Jamasb Vijil Chenthamarakshan A. Lozano Payel Das Jian Tang SSL 81 233 0 11 Mar 2022
Towards a Unified View of Parameter-Efficient Transfer Learning Junxian He Chunting Zhou Xuezhe Ma Taylor Berg-Kirkpatrick Graham Neubig AAML 139 953 0 08 Oct 2021
Is Transfer Learning Necessary for Protein Landscape Prediction? Amir Shanehsazzadeh David Belanger David Dohan SSL 123 62 0 31 Oct 2020
ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing Ahmed Elnaggar M. Heinzinger Christian Dallago Ghalia Rehawi Yu Wang ... Tamas B. Fehér Christoph Angerer Martin Steinegger D. Bhowmik B. Rost DRL 80 955 0 13 Jul 2020
Evaluating Protein Transfer Learning with TAPE Roshan Rao Nicholas Bhattacharya Neil Thomas Yan Duan Xi Chen John F. Canny Pieter Abbeel Yun S. Song SSL 105 809 0 19 Jun 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,324 0 11 Oct 2018
DeepSF: deep convolutional neural network for mapping protein sequences to folds Jie Hou B. Adhikari Jianlin Cheng 70 202 0 04 Jun 2017