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
  • [21] Interdiction at a protein-protein interface: Structure-based design of the Mcl-1 inhibitor AMG 176
    Brown, Sean
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2017, 253
  • [22] Interdiction at a protein-protein interface: Structure-based design and optimization of spirocyclic Mcl-1 inhibitors
    Li, Kexue
    Brown, Sean
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2017, 254
  • [23] Structure-based network analysis of an evolved G protein-coupled receptor homodimer interface
    Nichols, Sara E.
    Hernandez, Carlos X.
    Wang, Yi
    McCammon, James Andrew
    PROTEIN SCIENCE, 2013, 22 (06) : 745 - 754
  • [24] Structure-Based Approach to the Photocontrol of Protein Folding
    Zhang, Fuzhong
    Zarrine-Afsar, Arash
    Al-Abdul-Wahid, M. Sameer
    Prosser, R. Scott
    Davidson, Alan R.
    Woolley, G. Andrew
    JOURNAL OF THE AMERICAN CHEMICAL SOCIETY, 2009, 131 (06) : 2283 - 2289
  • [25] Structure-based protein design with deep learning
    Ovchinnikov, Sergey
    Huang, Po-Ssu
    CURRENT OPINION IN CHEMICAL BIOLOGY, 2021, 65 : 136 - 144
  • [26] Towards structure-based protein drug design
    Zhang, Changsheng
    Lai, Luhua
    BIOCHEMICAL SOCIETY TRANSACTIONS, 2011, 39 : 1382 - 1386
  • [27] Structure-based combinatorial protein engineering (SCOPE)
    O'Maille, PE
    Bakhtina, M
    Tsai, MD
    JOURNAL OF MOLECULAR BIOLOGY, 2002, 321 (04) : 677 - 691
  • [28] A structure-based method for protein sequence alignment
    Kann, MG
    Thiessen, PA
    Panchenko, AR
    Schäffer, AA
    Altschul, SF
    Bryant, SH
    BIOINFORMATICS, 2005, 21 (08) : 1451 - 1456
  • [29] Structure-Based Nanocarrier Design for Protein Delivery
    Wang, Xu
    Shi, Changying
    Zhang, Li
    Lin, Mei Yun
    Guo, Dandan
    Wang, Lili
    Yang, Yan
    Duncan, Thomas M.
    Luo, Juntao
    ACS MACRO LETTERS, 2017, 6 (03) : 267 - 271
  • [30] Structure-based modeling of protein: DNA specificity
    Joyce, Adam P.
    Zhang, Chi
    Bradley, Philip
    Havranek, James J.
    BRIEFINGS IN FUNCTIONAL GENOMICS, 2015, 14 (01) : 39 - 49