Page 124 - TD-3-4
P. 124
Tumor Discovery Bioinformatics insights into CCL2 mutations
HSA chimera with high glycosaminoglycan-binding affinity 93. Suetomi K, Rojo D, Navarro J. Identification of a signal
and selectivity. Protein Eng Des Sel. 2015;28(8):231-240. transduction switch in the chemokine receptor CXCR1.
J Biol Chem. 2002;277(35):31563-31566.
doi: 10.1093/protein/gzv025
doi: 10.1074/jbc.M204713200
82. Hao Q, Vadgama JV, Wang P. CCL2/CCR2 signaling in
cancer pathogenesis. Cell Commun Signal. 2020;18(1):82. 94. Studer RA, Dessailly BH, Orengo CA. Residue mutations
and their impact on protein structure and function:
doi: 10.1186/s12964-020-00589-8
Detecting beneficial and pathogenic changes. Biochem J.
83. Lim SY, Yuzhalin AE, Gordon-Weeks AN, Muschel RJ. 2013;449:581-594.
Targeting the CCL2-CCR2 signaling axis in cancer
metastasis. Oncotarget. 2016;7(19):28697-28710. doi: 10.1042/BJ20121221
95. Gerasimavicius L, Livesey BJ, Marsh JA. Loss-of-function,
doi: 10.18632/oncotarget.7376
gain-of-function and dominant-negative mutations have
84. Kadomoto S, Izumi K, Mizokami A. Roles of CCL2- profoundly different effects on protein structure. Nat
CCR2 axis in the tumor microenvironment. Int J Mol Sci. Commun. 2022;13(1):3895.
2021;22(16):8530.
doi: 10.1038/s41467-022-31686-6
doi: 10.3390/ijms22168530
96. Arshad M, Bhatti A, John P. Identification and in silico
85. Iwamoto H, Izumi K, Mizokami A. Is the C-C motif ligand analysis of functional SNPs of human TAGAP protein:
2–C-C chemokine receptor 2 axis a promising target for A comprehensive study. PLoS One. 2018;13(1):e0188143.
cancer therapy and diagnosis? Int J Mol Sci. 2020;21(23):9328.
doi: 10.1371/journal.pone.0188143
doi: 10.3390/ijms21239328
97. Schwaigerlehner L, Pechlaner M, Mayrhofer P,
86. Anderson EM, Thomassian S, Gong J, Hendifar A, Osipov A. Oostenbrink C, Kunert R. Lessons learned from merging wet
Advances in pancreatic ductal adenocarcinoma treatment. lab experiments with molecular simulation to improve mAb
Cancers (Basel). 2021;13(21):5510. humanization. Protein Eng Des Sel. 2018;31(7-8):257-265.
doi: 10.3390/cancers13215510 doi: 10.1093/protein/gzy009
87. Li X, Zhong J, Deng X, et al. Targeting myeloid-derived 98. Cárdenas R, Martínez-Seoane J, Amero C. Combining
suppressor cells to enhance the antitumor efficacy of experimental data and computational methods for the non-
immune checkpoint blockade therapy. Front Immunol. computer specialist. Molecules. 2020;25(20):4783.
2021;12:754196.
doi: 10.3390/molecules25204783
doi: 10.3389/fimmu.2021.754196
99. Kamaraj B, Purohit R. Computational screening of disease-
88. Chen W, Pan X, Cui X. RCC immune microenvironment associated mutations in OCA2 gene. Cell Biochem Biophys.
subsequent to targeted therapy: A friend or a foe? Front 2013;68:97-109.
Oncol. 2020;10:573690.
doi: 10.1007/s12013-013-9697-2
doi: 10.3389/fonc.2020.573690
100. Stefl S, Nishi H, Petukh M, Panchenko A, Alexov E. Molecular
89. Jin J, Lin J, Xu A, et al. CCL2: An important mediator between mechanisms of disease-causing missense mutations. J Mol
tumor cells and host cells in tumor microenvironment. Front Biol. 2013;425:3919-3936.
Oncol. 2021;11:722916.
doi: 10.1016/j.jmb.2013.07.014
doi: 10.3389/fonc.2021.722916
101. Peterson TA, Doughty E, Kann MG. Towards precision
90. Toya M, Zhang N, Tsubosaka M, et al. CCL2 promotes medicine: Advances in computational approaches for the
osteogenesis by facilitating macrophage migration during analysis of human variants. J Mol Biol. 2013;425(21):4047-4063.
acute inflammation. Front Cell Dev Biol. 2023;11:1213641.
doi: 10.1016/j.jmb.2013.08.008
doi: 10.3389/fcell.2023.1213641
102. Mugumbate G, Nyathi B, Zindoga A, Munyuki G.
91. Butcher MJ, Galkina EV. wRAPping up early monocyte and Application of computational methods in understanding
neutrophil recruitment in atherogenesis via Annexin A1/ mutations in Mycobacterium tuberculosis drug resistance.
FPR2 signaling. Circ Res. 2015;116(5):774-777. Front Mol Biosci. 2021;8:643849.
doi: 10.1161/circresaha.115.305920 doi: 10.3389/fmolb.2021.643849
92. Deshmane SL, Kremlev S, Amini S, Sawaya BE. Monocyte 103. Luo P, Chen B, Liao B, Wu FX. Predicting disease‐associated
chemoattractant protein-1 (MCP-1): An overview. genes: Computational methods, databases, and evaluations.
J Interferon Cytokine Res. 2009;29(6):313-326. WIREs Data Min Knowl Discov. 2020;11:e1383.
doi: 10.1089/jir.2008.0027 doi: 10.1002/widm.1383
Volume 3 Issue 4 (2024) 26 doi: 10.36922/td.3891

