PROT-ON: A structure-based detection of designer PROTein interface MutatiONs

被引:2
|
作者
Kosaca, Mehdi [1 ,2 ]
Yilmazbilek, Irem [1 ,3 ]
Karaca, Ezgi [1 ,2 ]
机构
[1] Izmir Biomed & Genome Ctr, Dokuz Eylul Hlth Campus, Izmir, Turkiye
[2] Dokuz Eylul Univ, Izmir Int Biomed & Genome Inst, Izmir, Turkiye
[3] Middle East Tech Univ, Ankara, Turkiye
关键词
interface mutation; protein-protein interaction; interface design; EvoEF1; FoldX; WEB SERVER;
D O I
10.3389/fmolb.2023.1063971
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The mutation-induced changes across protein-protein interfaces have often been observed to lead to severe diseases. Therefore, several computational tools have been developed to predict the impact of such mutations. Among these tools, FoldX and EvoEF1 stand out as fast and accurate alternatives. Expanding on the capabilities of these tools, we have developed the PROT-ON (PROTein-protein interface mutatiONs) framework, which aims at delivering the most critical protein interface mutations that can be used to design new protein binders. To realize this aim, PROT-ON takes the 3D coordinates of a protein dimer as an input. Then, it probes all possible interface mutations on the selected protein partner with EvoEF1 or FoldX. The calculated mutational energy landscape is statistically analyzed to find the most enriching and depleting mutations. Afterward, these extreme mutations are filtered out according to stability and optionally according to evolutionary criteria. The final remaining mutation list is presented to the user as the designer mutation set. Together with this set, PROT-ON provides several residue- and energy-based plots, portraying the synthetic energy landscape of the probed mutations. The stand-alone version of PROT-ON is deposited at . The users can also use PROT-ON through our user-friendly web service (runs with EvoEF1 only). Considering its speed and the range of analysis provided, we believe that PROT-ON presents a promising means to estimate designer mutations.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Binding Interface and Structure-based Design of Mutations
    Starks, Nickolas
    Smith, Garry
    Osegueda, Brayan
    Tolkatchev, Dmitri
    Kostyukova, Alla
    PROTEIN SCIENCE, 2023, 32
  • [2] Integrated structure-based protein interface prediction
    Walder, M.
    Edelstein, E.
    Carroll, M.
    Lazarev, S.
    Fajardo, J. E.
    Fiser, A.
    Viswanathan, R.
    BMC BIOINFORMATICS, 2022, 23 (01)
  • [3] Integrated structure-based protein interface prediction
    M. Walder
    E. Edelstein
    M. Carroll
    S. Lazarev
    J. E. Fajardo
    A. Fiser
    R. Viswanathan
    BMC Bioinformatics, 23
  • [4] Predicting the Effect of Mutations on Protein-Protein Binding Interactions through Structure-Based Interface Profiles
    Brender, Jeffrey R.
    Zhang, Yang
    PLOS COMPUTATIONAL BIOLOGY, 2015, 11 (10)
  • [5] Structure-based protocol for identifying mutations that enhance protein-protein binding affinities
    Sammond, Deanne W.
    Eletr, Ziad M.
    Purbeck, Carrie
    Kimple, Randall J.
    Siderovski, David P.
    Kuhlman, Brian
    JOURNAL OF MOLECULAR BIOLOGY, 2007, 371 (05) : 1392 - 1404
  • [6] Structure-based design of Mcl-1 inhibitors: Interdiction at a protein-protein interface
    Brown, Sean
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2016, 252
  • [7] Structure-based prediction of Ras-effector binding affinities and design of "branchegetic"interface mutations
    Junk, Philipp
    Kiel, Christina
    STRUCTURE, 2023, 31 (07) : 870 - +
  • [8] JAIL: a structure-based interface library for macromolecules
    Guenther, Stefan
    von Eichborn, Joachim
    May, Patrick
    Preissner, Robert
    NUCLEIC ACIDS RESEARCH, 2009, 37 : D338 - D341
  • [9] Structure-Based Analysis Reveals Cancer Missense Mutations Target Protein Interaction Interfaces
    Engin, H. Billur
    Kreisberg, Jason F.
    Carter, Hannah
    PLOS ONE, 2016, 11 (04):
  • [10] Structure-Based Prediction of the Mobility and Disorder of Water Molecules at Protein-DNA Interface
    Luo, Xiaoli
    Lv, Fenglin
    Pan, Yuzhu
    Kong, Xiangjun
    Li, Yuanchao
    Yang, Qingwu
    PROTEIN AND PEPTIDE LETTERS, 2011, 18 (02): : 203 - 209