Foresta C, Moro E, Ferlin A (2001) Y chromosome microdeletions and alterations of spermatogenesis. Endocr Rev 22:226–239. https://doi.org/10.1210/edrv.22.2.0425
CAS
Article
PubMed
Google Scholar
De Kretser DM, Baker HWG (1999) Infertility in men: recent advances and continuing controversies. J Clin Endocrinol Metab 84:3443–3450. https://doi.org/10.1210/jcem.84.10.6101
Article
PubMed
Google Scholar
Plaseska-Karanfilska D, Noveski P, Plaseski T, Maleva I, Madjunkova S, Moneva Z (2012) Genetic causes of male infertility. BJMG 15(Supplement):31–34. https://doi.org/10.2478/v10034-012-0015-x
CAS
Article
PubMed
Google Scholar
Tiepolo L, Zuffardi O (1976) Localization of factors controlling spermatogenesis in the non-fluorescent portion of the human Y chromosome long arm. Hum Genet 34:119–124. https://doi.org/10.1007/BF00278879
Article
CAS
PubMed
Google Scholar
Vogt PH, Ditton H, Kamp C, Zimmer J (2007) Structure and function of AZFa locus in human spermatogenesis. In: Fai Y, Chan W (eds) The Y chromosome and male germ cell biology in health and diseases. World Scientific Publishing Co. Pte. Ltd., Singapore, pp 91–125. https://doi.org/10.1142/9789812770431_0005
Chapter
Google Scholar
Vogt PH, Edelmann A, Kirsch S, Henegariu O, Hirschmann P, Kiesewetter F, Ko¨hn FM, Schill WB, Farah S, Ramos C et al (1996) Human Y chromosome azoospermia factors (AZF) mapped to different subregions in Yq11. Hum. Mol Genet 5:933–945 PMID: 8817327
CAS
Google Scholar
Linder P (2008) mRNA export: RNP remodeling by DEAD-box proteins. Curr Biol 18:R297–R299. https://doi.org/10.1016/j.cub.2008.02.027
Article
CAS
PubMed
Google Scholar
Jankowsky E (2011) RNA helicases at work: binding and rearranging. Trends Biochem Sci 36:19–29. https://doi.org/10.1016/j.tibs.2010.07.008
Article
CAS
PubMed
PubMed Central
Google Scholar
Ramathal C, Angulo B, Sukhwani M, Cui J, Durruthy-Durruthy J, Fang F et al (2015) DDX3Y gene rescue of a Y chromosome AZFa deletion restores germ cell formation and transcriptional programs. Sci Rep 5:15041. https://doi.org/10.1038/srep15041
Article
CAS
PubMed
PubMed Central
Google Scholar
Lahn BT, Page DC (1997) Functional coherence of the human Y chromosome. Science 278:675–680 PMID: 9381176
Article
CAS
PubMed
Google Scholar
Ditton HJ, Zimmer J, Kamp C, RajpertDe Meyts E, Vogt PH (2004) The AZFa gene DBY (DDX3Y) is widely transcribed but the protein is limited to the male germ cells by translation control. Hum Mol Genet 13:2333–2341. https://doi.org/10.1093/hmg/ddh240
Article
CAS
PubMed
Google Scholar
Linder P, Jankowsky E (2011) From unwinding to clamping—the DEAD box RNA helicase family. Nat Rev Mol Cell Biol 12:505–516. https://doi.org/10.1038/nrm3154
Article
CAS
PubMed
Google Scholar
Gassoum A, Abdelraheem NE, Elsadig N (2016) Comprehensive analysis of rsSNPs associated with hypertension using in-silico bioinformatics tools. OALib J 3:e2839. https://doi.org/10.4236/oalib.1102839
Article
Google Scholar
Nachman MW (2001) Single nucleotide polymorphisms and recombination rate in humans. Trends Genet 17:481–485 (PMID: 11525814)
Article
CAS
PubMed
Google Scholar
Varela MA, Amos W (2010) Heterogeneous distribution of SNPs in the Human genome: microsatellites as predictors of nucleotide diversity and divergence. Genomics 95:151–159. https://doi.org/10.1016/j.ygeno.2009.12.003
Article
CAS
PubMed
Google Scholar
Barreiro LB, Laval G, Quach H, Patin E, Quintana-Murci L (2008) Natural selection has driven population differentiation in modern humans. Nature Genet 40:340–345. https://doi.org/10.1038/ng.78
Article
CAS
PubMed
Google Scholar
Bhagwat M (2010) Searching NCBI’s dbSNP database. Curr Protoc Bioinform. https://doi.org/10.1002/0471250953.bi0119s32
(Chap. 1: Unit 1.19)
Article
Google Scholar
Abdelraheem NE, El-Tayeb GM, Osman LO, Abedlrhman SA, Ali AS, Elsadig AH et al (2016) A comprehensive in silico analysis of the functional and structural impact of non-synonymous single nucleotide polymorphisms in the human KRAS gene. Bioinformatics 6:32–55. https://doi.org/10.5923/j.bioinformatics.20160602.02
Article
Google Scholar
Naveed M, Tehreem S, Mubeen S, Nadeem F, Zafar F, Irshad M (2016) In-silico analysis of non-synonymous-SNPs of STEAP2: to provoke the progression of prostate cancer. Open Life Sci 11:402–416
Google Scholar
Ali MSAS., Tomador Siddig MZ, Elhadi RA, Yousof MR, Yousif Abdallah SE, Ahmed MMY et al (2016) In silico analysis of single nucleotide polymorphism (SNPs) in human RAG1 and RAG2 genes of severe combined immunodeficiency. J Bioinform Genom Proteom 1:1005
Google Scholar
Ramensky V, Bork P, Sunyaev S (2002) Human non-synonymous SNPs: server and survey. Nucleic Acids Res 30:3894–3900 (PMID: 12202775)
Article
CAS
PubMed
PubMed Central
Google Scholar
Choi Y, Sims GE, Murphy S, Miller JR, Chan AP (2012) Predicting the functional effect of amino acid substitutions and indels. PLoS One 7:e46688. https://doi.org/10.1371/journal.pone.0046688
Article
CAS
PubMed
PubMed Central
Google Scholar
Bromberg Y, Overton J, Vaisse C, Leibel RL, Rost B (2009) In silico mutagenesis: a case study of the melanocortin 4 receptor. FASEB J 23:3059–3069. https://doi.org/10.1096/fj.08-127530
Article
CAS
PubMed
PubMed Central
Google Scholar
Yachdav G, Hecht M, Yeheskel A, Pasmanik-Chor M, Rost B (2014) HeatMapViewer: interactive display of 2D data in biology. F1000Research 3:48. https://doi.org/10.12688/f1000research.3-48.v1
Article
PubMed
PubMed Central
Google Scholar
Bao L, Zhou M, Cui Y (2005) nsSNPAnalyzer: identifying disease-associated non synonymous single nucleotide polymorphisms. Nucleic Acids Res 33:480–482. https://doi.org/10.1093/nar/gki372
Article
CAS
Google Scholar
Calabrese R, Capriotti E, Fariselli P, Martelli PL, Casadio R (2009) Functional annotations improve the predictive score of human disease-related mutations in proteins. Hum Mutat 30:1237–1244. https://doi.org/10.1002/humu.21047
Article
CAS
PubMed
Google Scholar
Capriotti E, Calabrese R, Casadio R (2006) Predicting the insurgence of human genetic diseases associated to single point protein mutations with support vector machines and evolutionary information. Bioinformatics 22:2729–2734. https://doi.org/10.1093/bioinformatics/btl423
Article
CAS
PubMed
Google Scholar
Ferrer-Costa C, Gelp JL, Zamakola L, Parraga I, de la Crux X, Orozco M (2005) PMUT: a web-based tool for the annotation of pathological mutations on proteins. Bioinformatics 21:3176–3178. https://doi.org/10.1093/bioinformatics/bti486
Article
CAS
PubMed
Google Scholar
Li B, Krishnan VG, Mort ME, Xin F, Kamati KK, Cooper DN et al (2009) Automated inference of molecular mechanisms of disease from amino acid substitutions. Bioinformatics 25:2744–2750. https://doi.org/10.1093/bioinformatics/btp528
Article
CAS
PubMed
PubMed Central
Google Scholar
Capriotti E, Fariselli P, Casadino R (2005) I-Mutant 2.0: predicting stability changes upon mutation from the protein sequence or structure. Nucl Acids Res 33:W06-W310. https://doi.org/10.1093/nar/gki375
Article
CAS
Google Scholar
Huang LT, Gromiha MM, Ho SY (2007) iPTREE-STAB: interpretable decision tree based method for predicting protein stability changes upon mutations. Bioinformatics 23:1292–1293. https://doi.org/10.1093/bioinformatics/btm100
Article
CAS
PubMed
Google Scholar
Cheng J, Randall A, Baldi P (2006) Prediction of protein stability changes for single-site mutations using support vector machines. Proteins 62:1125–1132. https://doi.org/10.1002/prot.20810
Article
CAS
PubMed
Google Scholar
Teng S, Srivastava AK, Wang L (2010) Sequence feature-based prediction of protein stability changes upon amino acid substitutions. BMC Genom 11:S5. https://doi.org/10.1186/1471-2164-11-S2-S5
Article
CAS
Google Scholar
Ashkenazy H, Erez E, Martz E, Pupko T, Ben-Tal N (2010) ConSurf 2010: calculating evolutionary conservation in sequence and structure of proteins and nucleic acids. Nucleic Acids Res 38:W529–W533. https://doi.org/10.1093/nar/gkq399
Article
CAS
PubMed
PubMed Central
Google Scholar
Laskowski RA (2007) Enhancing the functional annotation of PDB structures in PDBsum using key figures extracted from the literature. Bioinformatics 23:1824–1827. https://doi.org/10.1093/bioinformatics/btm085
Article
CAS
PubMed
Google Scholar
Witvliet DK, Strokach A, Giraldo-Forero AF, Teyra J, Colak R, Kim PM (2016) ELASPIC web-server: proteome-wide structure-based prediction of mutation effects on protein stability and binding affinity. Bioinformatics 32:1589–1591. https://doi.org/10.1093/bioinformatics/btw031
Article
CAS
PubMed
Google Scholar
Marchler-Bauer A, Derbyshire MK, Gonzales NR, Lu S, Chitsaz F et al (2015) CDD: NCBI’s conserved domain database. Nucleic Acids Res 43:222–226. https://doi.org/10.1093/nar/gku1221
Article
CAS
Google Scholar
Marchler-Bauer A, Bo Y, Han L, He J, Lanczycki CJ, Lu S et al (2017) CDD/SPARCLE: functional classification of proteins via subfamily domain architectures. Nucleic Acids Res 45:200–203. https://doi.org/10.1093/nar/gkw1129
Article
CAS
Google Scholar
Hussain MRM, Shaik NA, Al-Aama JY, Asfour HZ, Khan FS, Masoodi TA et al (2012) In silico analysis of single nucleotide polymorphisms (SNPs) in human BRAF gene. Gene 508:188–196. https://doi.org/10.1016/j.gene.2012.07.014
Article
CAS
PubMed
Google Scholar
Petersen B, Petersen TN, Andersen P, Nielsen M, Lundegaard C (2009) A generic method for assignment of reliability scores applied to solvent accessibility predictions. BMC Struct Biol 9:51. https://doi.org/10.1186/1472-6807-9-51
Article
CAS
PubMed
PubMed Central
Google Scholar
Wu S, Zhang Y (2008) MUSTER: Improving protein sequence profile–profile alignments by using multiple sources of structure information. Proteins 72:547–556. https://doi.org/10.1002/prot.21945
Article
CAS
PubMed
PubMed Central
Google Scholar
Heo LPH, Seok C (2013) GalaxyRefine: protein structure refinement driven by side-chain repacking. Nucleic Acids Res 41:W384-8. https://doi.org/10.1093/nar/gkt458
Article
PubMed
Google Scholar
Van Gunsteren WF, Billeter SR, Eising AA, Hünenberger PH, Krüger P, Mark AE et al (1996) Biomolecular simulation: the GROMOS96 manual and user guide. vdf Hochschulverlag AG an der ETH Zürich and BIOMOS b.v., Zürich, pp 1–1042
Google Scholar
Guex N, Peitsch MC (1997) SWISS-MODEL and the Swiss-PdbViewer: an environment for comparative protein modeling. Electrophoresis 18:2714–2723. https://doi.org/10.1002/elps.1150181505
Article
CAS
Google Scholar
Eisenberg D, Lüthy R, Bowie JU (1997) VERIFY3D: assessment of protein models with three-dimensional profiles. Method Enzymol 277:396–404 PMID: 9379925
Article
CAS
Google Scholar
Benkert P, Tosatto SCE, Schomburg D (2008) QMEAN: a comprehensive scoring function for model quality assessment. Proteins 71:261–277. https://doi.org/10.1002/prot.21715
Article
CAS
PubMed
Google Scholar
Laskowski RA, MacArthur MW, Moss DS, Thornton JM (1993) PROCHECK: a program to check the stereochemical quality of protein structures. J Appl Cryst 26:283–291. https://doi.org/10.1107/S0021889892009944
Article
CAS
Google Scholar
Kallberg M, Wang H, Wang S, Peng J, Wang Z, Lu H et al (2012) Template-based protein structure modeling using the RaptorX web server. Nat Protoc 7:1511–1522. https://doi.org/10.1038/nprot.2012.085
Article
CAS
PubMed
PubMed Central
Google Scholar
Patel SM, Koringa PG, Reddy BB, Nathani NM, Joshi CG (2015) In silico analysis of consequences of non-synonymous SNPs of Slc11a2 gene in Indian bovines. Genom Data 5:72–79. https://doi.org/10.1016/j.gdata.2015.05.015
Article
PubMed
PubMed Central
Google Scholar
Nailwal M, Chauhan JB (2017) Computational analysis of high risk missense variant in human UTY gene: a candidate gene of AZFa sub-region. J Reprod Infertil 18:298–306 PMID: 29062794
PubMed
PubMed Central
Google Scholar
Nailwal M, Chauhan JB (2017) In silico analysis of non-synonymous single nucleotide polymorphisms in human DAZL gene associated with male infertility. Syst Biol Reprod Med 63:248–258. https://doi.org/10.1080/19396368.2017.1305466
Article
CAS
PubMed
Google Scholar
Nailwal M, Chauhan JB (2017) Analysis of consequences of non-synonymous SNPs of USP9Y gene in human using bioinformatics tools. Meta Gene 12:13–17. https://doi.org/10.1016/j.mgene.2016.12.011
Article
Google Scholar
Akhoundi F, Parvaneh N, Modjtaba EB (2016) In silico analysis of deleterious single nucleotide polymorphisms in human BUB1 mitotic checkpoint serine/threonine kinase B gene. Meta Gene 9:142–150. https://doi.org/10.1016/j.mgene.2016.05.002
Article
PubMed
PubMed Central
Google Scholar
Chandrasekaran G, Hwang EC, Kang TW, Kwon DD, Park K, Lee J et al (2017) In silico analysis of the deleterious nsSNPs (missense) in the homeobox domain of human HOXB13 gene responsible for hereditary prostate cancer. Chem Biol Drug Des 00:1–12. https://doi.org/10.1038/srep43830
Article
Google Scholar
Kumar P, Henikoff S, Ng PC (2009) Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm. Nat Protoc 4:1073–1082. https://doi.org/10.1038/nprot.2009.86
Article
CAS
PubMed
PubMed Central
Google Scholar
Ng PC, Henikoff S (2003) SIFT: predicting amino acid changes that affect protein function. Nucleic Acids Res 31:3812–3814 PMID: 12824425
Article
CAS
PubMed
PubMed Central
Google Scholar
Adzhubei IA, Schmidt S, Peshkin L, Ramensky VE, Gerasimova A, Bork P et al (2010) A method and server for predicting damaging missense mutations. Nat Methods 7:248–249. https://doi.org/10.1038/nmeth0410-248
Article
CAS
PubMed
PubMed Central
Google Scholar
Hecht M, Bromberg Y, Rost B (2013) News from the protein mutability landscape. J Mol Biol 425:3937–3948. https://doi.org/10.1016/j.jmb.2013.07.028
Article
CAS
PubMed
Google Scholar
Venselaar H, Te Beek TA, Kuipers RKP, Hekkelman ML, Vriend G (2010) Protein structure analysis of mutations causing inheritable diseases. An e-Science approach with life scientist friendly interfaces. BMC Bioinformatics 11:548. https://doi.org/10.1186/1471-2105-11-548
Article
CAS
PubMed
PubMed Central
Google Scholar
Cheng J, Randall A, Baldi P (2006) Prediction of protein stability changes for single-site mutations using support vector machines. Proteins Struct Funct Bioinform 62:1125–1132. https://doi.org/10.1002/prot.20810
Article
CAS
Google Scholar
Ashkenazy H, Abadi S, Martz E, Chay O, Mayrose I, Pupko T et al (2016) ConSurf 2016: an improved methodology to estimate and visualize evolutionary conservation in macromolecules. Nucleic Acids Res 44:W344–W350. https://doi.org/10.1093/nar/gkw408
Article
CAS
PubMed
PubMed Central
Google Scholar
Laskowski RA (2001) PDBsum: summaries and analyses of PDB structures. Nucleic Acids Res 29:221–222 PMID: 11125097
Article
CAS
PubMed
PubMed Central
Google Scholar
Berliner N, Teyra J, Çolak R, Garcia Lopez S, Kim PM (2014) Combining structural modeling with ensemble machine learning to accurately predict protein fold stability and binding affinity effects upon mutation. PLoS One 9:e107353. https://doi.org/10.1371/journal.pone.0107353
Article
CAS
PubMed
PubMed Central
Google Scholar
Ariumi Y (2014) Multiple functions of DDX3 RNA helicase in gene regulation, tumorigenesis, and viral infection. Front Genet 5:423. https://doi.org/10.3389/fgene.2014.00423
Article
CAS
PubMed
PubMed Central
Google Scholar
Srivastava M, Gupta SK, Abhilash PC, Singh N (2012) Structure prediction and binding sites analysis of curcin protein of Jatropha curcas using computational approaches. J Mol Model 18:2971–2979. https://doi.org/10.1007/s00894-011-1320-0
Article
CAS
PubMed
Google Scholar