Variant effect prediction using structure-informed protein language models

被引：0
|
作者：
Sun, Yuanfei [1 ]
Shen, Yang [1 ]
机构：
[1] Texas A&M Univ, College Stn, TX USA
来源：
BIOPHYSICAL JOURNAL | 2023年 / 122卷 / 03期
关键词：
D O I：
暂无
中图分类号：
Q6 [生物物理学];
学科分类号：
071011 ;
摘要：
2301-Pos
引用
收藏
页码：473A / 473A
页数：1
相关论文
共 50 条
  • [21] ParaAntiProt provides paratope prediction using antibody and protein language models
    Kalemati, Mahmood
    Noroozi, Alireza
    Shahbakhsh, Aref
    Koohi, Somayyeh
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [22] TemStaPro: protein thermostability prediction using sequence representations from protein language models
    Pudziuvelyte, Ieva
    Olechnovic, Kliment
    Godliauskaite, Egle
    Sermokas, Kristupas
    Urbaitis, Tomas
    Gasiunas, Giedrius
    Kazlauskas, Darius
    BIOINFORMATICS, 2024, 40 (04)
  • [23] Using protein language models for protein interaction hot spot prediction with limited data
    Karen Sargsyan
    Carmay Lim
    BMC Bioinformatics, 25
  • [24] Using protein language models for protein interaction hot spot prediction with limited data
    Sargsyan, Karen
    Lim, Carmay
    BMC BIOINFORMATICS, 2024, 25 (01)
  • [25] Ab initio protein structure prediction using pathway models
    Yuan, X
    Shao, Y
    Bystroff, C
    COMPARATIVE AND FUNCTIONAL GENOMICS, 2003, 4 (04): : 397 - 401
  • [26] Noncoding variant effect prediction using genome sequence and chromatin structure
    Tan, Wuwei
    Shen, Yang
    BIOPHYSICAL JOURNAL, 2023, 122 (03) : 494A - 495A
  • [27] DEEPSTRUCT: Pretraining of Language Models for Structure Prediction
    Wang, Chenguang
    Liu, Xiao
    Chen, Zui
    Hong, Haoyun
    Tang, Jie
    Song, Dawn
    FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2022), 2022, : 803 - 823
  • [28] Improved prediction of MHC-peptide binding using protein language models
    Hashemi, Nasser
    Hao, Boran
    Ignatov, Mikhail
    Paschalidis, Ioannis Ch.
    Vakili, Pirooz
    Vajda, Sandor
    Kozakov, Dima
    FRONTIERS IN BIOINFORMATICS, 2023, 3
  • [29] Sequence-Structure Embeddings via Protein Language Models Improve on Prediction Tasks
    Kabir, Anowarul
    Shehu, Amarda
    2022 IEEE INTERNATIONAL CONFERENCE ON KNOWLEDGE GRAPH (ICKG), 2022, : 105 - 112
  • [30] Improved the heterodimer protein complex prediction with protein language models
    Chen, Bo
    Xie, Ziwei
    Qiu, Jiezhong
    Ye, Zhaofeng
    Xu, Jinbo
    Tang, Jie
    BRIEFINGS IN BIOINFORMATICS, 2023, 24 (04)
12345