
Citation: Birgitte Zeuner, Isabel González-Delgado, Jesper Holck, Gabriel Morales, María-José López-Muñoz, Yolanda Segura, Anne S. Meyer, Jørn Dalgaard Mikkelsen. Characterization and immobilization of engineered sialidases from Trypanosoma rangeli for transsialylation[J]. AIMS Molecular Science, 2017, 4(2): 140-163. doi: 10.3934/molsci.2017.2.140
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In this paper, we shall only consider graphs without multiple edges or loops. Let G=(V(G),E(G)) be a graph, v∈V(G), the neighborhood of v in G is denoted by N(v). That is to say N(v)={u|uv∈E(G),u∈V(G)}. The degree of a vertex v is denoted by d(v), i.e. d(v)=|N(v)|. A graph is trivial if it has a single vertex. The maximum degree and the minimum degree of a graph G are denoted by Δ(G) and δ(G), respectively. Denote by Kn the complete graph on n vertices.
A subset D of the vertex set of a graph G is a dominating set if every vertex not in D has at least one neighbor in D. The domination number γ(G) is the minimum cardinality of a dominating set of G. A dominating set D of G with |D|=γ(G) is called a γ-set of G.
Roman domination of graphs is an interesting variety of domination, which was proposed by Cockayne et al. [6]. A Roman dominating function (RDF) of a graph G is a function f:V(G)→{0,1,2} such that every vertex u for which f(u)=0 is adjacent to at least one vertex v for which f(v)=2. The weight w(f) of a Roman dominating function f is the value w(f)=∑u∈V(G)f(u). The minimum weight of an RDF on a graph G is called the Roman domination number γR(G) of G. An RDF f of G with w(f)=γR(G) is called a γR-function of G. The problems on domination and Roman domination of graphs have been investigated widely, for example, see list of references [8,9,10,13] and [3,7,12], respectively.
In 2016, Chellali et al. [5] introduced a variant of Roman dominating functions, called Roman {2}-dominating functions. A Roman {2}-dominating function (R{2}DF) of G is a function f:V→{0,1,2} such that ∑u∈N(v)f(u)≥2 for every vertex v∈V with f(v)=0. The weight of a Roman {2}-dominating function f is the sum ∑v∈Vf(v). The Roman {2}-domination number γ{R2}(G) is the minimum weight of an R{2}DF of G. Note that if f is an R{2}DF of G and v is a vertex with f(v)=0, then either there is a vertex u∈N(v) with f(u)=2, or at least two vertices x,y∈N(v) with f(x)=f(y)=1. Hence, an R{2}DF of G is also an RDF of G, which is also mentioned by Chellali et al [5]. Moreover, they showed that the decision problem for Roman {2}-domination is NP-complete, even for bipartite graphs.
In fact, a Roman {2}-dominating function is essentially the same as a weak {2}-dominating function, which was introduced by Brešar et al. [1] and studied in literatures [2,11,14,15].
For a mapping f:V(G)→{0,1,2}, let (V0,V1,V2) be the ordered partition of V(G) induced by f such that Vi={x:f(x)=i} for i=0,1,2. Note that there exists a 1-1 correspondence between the function f and the partition (V0,V1,V2) of V(G), so we will write f=(V0,V1,V2).
Chellali et al. [4] obtained the following lower bound of Roman domination number.
Lemma 1. (Chellali et al. [4]) Let G be a nontrivial connected graph with maximum degree Δ. Then γR(G)≥Δ+1Δγ(G).
In this paper, we generalize this result on nontrivial connected graph G with maximum degree Δ and minimum degree δ. We prove that γR(G)≥Δ+2δΔ+δγ(G). As a corollary, we obtain that 32γ(G)≤γR(G)≤2γ(G) for any nontrivial regular graph G. Moreover, we prove that γR(G)≤2γ{R2}(G)−1 for every graph G and there exists a graph Ik such that γ{R2}(Ik)=k and γR(Ik)=2k−1 for any integer k≥2.
Lemma 2. (Cockayne et al. [6]) Let f=(V0,V1,V2) be a γR-function of an isolate-free graph G with |V1| as small as possible. Then
(i) No edge of G joins V1 and V2;
(ii) V1 is independent, namely no edge of G joins two vertices in V1;
(iii) Each vertex of V0 is adjacent to at most one vertex of V1.
Theorem 3. Let G be a nontrivial connected graph with maximum degree Δ(G)=Δ and minimum degree δ(G)=δ. Then
γR(G)≥Δ+2δΔ+δγ(G). | (2.1) |
Moreover, if the equality holds, then
γ(G)=n(Δ+δ)Δδ+Δ+δandγR(G)=n(Δ+2δ)Δδ+Δ+δ. |
Proof. Let f=(V0,V1,V2) be a γR-function of G with V1 as small as possible. By Lemma 2, we know that N(v)⊆V0 for any v∈V1 and N(v1)∩N(v2)=∅ for any v1,v2∈V1. So we have
|V1|≤|V0|δ | (2.2) |
Since G is nontrivial, it follows that V2≠∅. Note that every vertex in V2 is adjacent to at most Δ vertices in V0; we have
|V0|≤Δ|V2| | (2.3) |
By Formulae (2.2) and (2.3), we have
|V1|≤Δδ|V2| | (2.4) |
By the definition of an RDF, every vertex in V0 has at least one neighbor in V2. So V1∪V2 is a dominating set of G. Together with Formula (2.4), we can obtain that
γ(G)≤|V1|+|V2|≤Δδ|V2|+|V2|=Δ+δδ|V2|. |
Note that f is a γR-function of G; we have
γR(G)=|V1|+2|V2|=(|V1|+|V2|)+|V2|≥γ(G)+δΔ+δγ(G)=Δ+2δΔ+δγ(G). |
Moreover, if the equality in Formula (2.1) holds, then by previous argument we obtain that |V1|=|V0|δ, |V0|=Δ|V2|, and V1∪V2 is a γ-set of G. Then we have
n=|V0|+|V1|+|V2|=|V0|+|V0|δ+|V0|Δ=Δδ+Δ+δΔδ|V0|. |
Hence, we have
|V0|=nΔδΔδ+Δ+δ,|V1|=nΔΔδ+Δ+δ, and |V2|=nδΔδ+Δ+δ. |
So
γR(G)=|V1|+2|V2|=n(Δ+2δ)Δδ+Δ+δ and γ(G)=|V1|+|V2|=n(Δ+δ)Δδ+Δ+δ |
since V1∪V2 is a γ-set of G. This completes the proof.
Now we show that the lower bound in Theorem 3 can be attained by constructing an infinite family of graphs. For any integers k≥2, δ≥2 and Δ=kδ, we construct a graph Hk from K1,Δ by adding k news vertices such that each new vertex is adjacent to δ vertices of K1,Δ with degree 1 and no two new vertices has common neighbors. Then add some edges between the neighbors of each new vertex u such that δ(Hk)=δ and the induced subetaaph of N(u) in Hk is not complete. The resulting graph Hk is a connected graph with maximum degree Δ(G)=Δ and maximum degree δ(G)=δ. It can be checked that γ(Hk)=k+1 and γR(Hk)=k+2=Δ+2δΔ+δγ(G).
For example, if k=2, δ=3 and Δ=kδ=6, then the graph H2 constructed by the above method is shown in Figure 1, where u1 and u2 are new vertices.
Furthermore, by Theorem 3, we can obtain a lower bound of the Roman domination number on regular graphs.
Corollary 4. Let G be an r-regular graph, where r≥1. Then
γR(G)≥32γ(G) | (2.5) |
Moreover, if the equality holds, then
γ(G)=2nr+2andγR(G)=3nr+2. |
Proof. Since G is r-regular, we have Δ(G)=δ(G)=r. By Theorem 3 we can obtain that this corollary is true.
For any integer n≥2, denote by G2n the (2n−2)-regular graph with 2n vertices, namely G2n is the graph obtained from K2n by deleting a perfect matching. It can be checked that γ(G2n)=2 and γR(G2n)=3=32γ(G) for any n≥2. Hence, the bound in Corollary 4 is attained.
Note that γR(G)≤2γ(G) for any graph G; we can conclude the following result.
Corollary 5. Let G be an r-regular graph, where r≥1. Then
32γ(G)≤γR(G)≤2γ(G). |
Chellali et al. [5] obtain the following bounds for the Roman {2}-domination number of a graph G.
Lemma 6. (Chellali et al. [5]) For every graph G, γ(G)≤γ{R2}(G)≤γR(G)≤2γ(G).
Lemma 7. (Chellali et al. [5]) If G is a connected graph of order n and maximum degree Δ(G)=Δ, then
γ{R2}(G)≥2nΔ+2. |
Theorem 8. For every graph G, γR(G)≤2γ{R2}(G)−1. Moreover, for any integer k≥2, there exists a graph Ik such that γ{R2}(Ik)=k and γR(Ik)=2k−1.
Proof. Let f=(V0,V1,V2) be an γ{R2}-function of G. Then γ{R2}(G)=|V1|+2|V2| and γR(G)≤2|V1|+2|V2| since V1∪V2 is a dominating set of G. If |V2|≥1, then γR(G)≤2|V1|+2|V2|=2γ{R2}(G)−2|V2|≥2γ{R2}(G)−2. If |V2|=0, then every vertex in V0 is adjacent to at least two vertices in V1. So for any vertex u∈V1, f′=(V0,{u},V1∖{u}) is an RDF of G. Then we have γR(G)≤1+2|V1∖{u}|=2|V1|−1=2γ{R2}(G)−1.
For any integer k≥2, let Ik be the graph obtained from Kk by replacing every edge of Kk with two paths of length 2. Then Δ(Ik)=2(k−1) and δ(Ik)=2. We first prove that γ{R2}(Ik)=k. Since V(Ik)=|V(Kk)|+2|E(Kk)|=k+2⋅k(k−1)2=k2, by Lemma 7 we can obtain γ{R2}(Ik)≥2|V(Ik)|Δ(Ik)+2=2k22(k−1)+2=k. On the other hand, let f(x)=1 for each x∈V(Ik) with d(x)=2(k−1) and f(y)=0 for each y∈V(Ik) with d(y)=2. It can be seen that f is an R{2}DF of Ik and w(f)=k. Hence, γ{R2}(Ik)=k.
We now prove that γR(Ik)=2k−1. Let g={V′1,V′2,V′3} be a γR-function of Ik such that |V′1| is minimum. For each 4-cycle C=v1v2v3v4v1 of Ik with d(v1)=d(v3)=2(k−1) and d(v2)=d(v4)=2, we have wg(C)=g(v1)+g(v2)+g(v3)+g(v4)≥2. If wg(C)=2, then by Lemma 2(iii) we have g(vi)∈{0,2} for any i∈{1,2,3,4}. Hence, one of v1 and v3 has value 2 and g(v2)=g(v4)=0. If wg(C)=3, then by Lemma 2(i) we have {g(v1),g(v3)}={1,2} or {g(v2),g(v4)}={1,2}. When {g(v2),g(v4)}={1,2}, let {g′(v1),g′(v2)}={1,2}, g′(v2)=g′(v4)=0 and g′(x)=g(x) for any x∈V(Ik)∖{v1,v2,v3,v4}. Then g′ is also a γR-function of Ik. If wg(C)=4, then exchange the values on C such that v1,v3 have value 2 and v2,v4 have value 0. So we obtain that Ik has a γR-function h such that h(y)=0 for any y∈V(Ik) with degree 2. Note that any two vertices of Ik with degree 2(k−1) belongs to a 4-cycle considered above; we can obtain that there is exactly one vertex z of Ik with degree 2(k−1) such that h(z)=1. Hence, γR(Ik)=w(h)=2k−1.
Note that the graph Ik constructed in Theorem 8 satisfies that γ(Ik)=k=γ{R2}(Ik). By Theorem 8, it suffices to prove that γ(Ik)=k. Let A={v:v∈V(Ik),d(v)=2(k−1)} and B=V(Ik)∖A. We will prove that Ik has a γ-set containing no vertex of B. Let D be a γ-set of Ik. If D contains a vertex u∈B. Since the degree of u is 2, let u1 and u2 be two neighbors of u in Ik. Then d(u1)=d(u2)=2(k−1) and, by the construction of Ik, u1 and u2 have two common neighbors u,u′ with degree 2. Hence, at least one of u′,u1, and u2 belongs to D. Let D′=(D∖{u,u′})∪{u1,u2}. Then D′ is also a γ-set of Ik. Hence, we can obtain a γ-set of Ik containing no vertex of B by performing the above operation for each vertex v∈D∩B. So A is a γ-set of Ik and γ(Ik)=|A|=k.
By Lemma 6 and Theorem 8, we can obtain the following corollary.
Corollary 9. For every graph G, γ{R2}(G)≤γR(G)≤2γ{R2}(G)−1.
Theorem 10. For every graph G, γR(G)≤γ(G)+γ{R2}(G)−1.
Proof. By Lemma 6 we can obtain that γR(G)≤2γ(G)≤γ(G)+γ{R2}(G). If the equality holds, then γR(G)=2γ(G) and γ(G)=γ{R2}(G). So γR(G)=2γ{R2}(G), which contradicts Theorem 8. Hence, we have γR(G)≤γ(G)+γ{R2}(G)−1.
In this paper, we prove that γR(G)≥Δ+2δΔ+δγ(G) for any nontrivial connected graph G with maximum degree Δ and minimum degree δ, which improves a result obtained by Chellali et al. [4]. As a corollary, we obtain that 32γ(G)≤γR(G)≤2γ(G) for any nontrivial regular graph G. Moreover, we prove that γR(G)≤2γ{R2}(G)−1 for every graph G and the bound is achieved. Although the bounds in Theorem 3 and Theorem 8 are achieved, characterizing the graphs that satisfy the equalities remain a challenge for further work.
The author thanks anonymous referees sincerely for their helpful suggestions to improve this work. This work was supported by the National Natural Science Foundation of China (No.61802158) and Natural Science Foundation of Gansu Province (20JR10RA605).
The author declares that they have no conflict of interest.
[1] |
Bode L (2012) Human milk oligosaccharides: Every baby needs a sugar mama. Glycobiology 22: 1147-1162. doi: 10.1093/glycob/cws074
![]() |
[2] | Kunz C, Meyer C, Collado MC, et al. (2016) Influence of gestational age, secretor and Lewis blood group status on the oligosaccharide content of human milk. J Pediatr Gastroenterol Nutr in press. |
[3] | ten Bruggencate SJM, Bovee-Oudenhoven IMJ, Feitsma AL, et al. (2014) Functional role and mechanisms of sialyllactose and other sialylated milk oligosaccharides. Nutr Rev 72: 377-389. |
[4] |
Holck J, Larsen DM, Michalak M, et al. (2014) Enzyme catalysed production of sialylated human milk oligosaccharides and galactooligosaccharides by Trypanosoma cruzi trans-sialidase. New Biotechnol 31: 156-165. doi: 10.1016/j.nbt.2013.11.006
![]() |
[5] |
Wilbrink MH, ten Kate GA, van Leeuwen SS, et al. (2014) Galactosyl-lactose sialylation using Trypanosoma cruzi trans-sialidase as the biocatalyst and bovine κ-casein-derived glycomacropeptide as the donor substrate. Appl Environ Microbiol 80: 5984-5991. doi: 10.1128/AEM.01465-14
![]() |
[6] |
Wilbrink MH, ten Kate GA, Sanders P, et al. (2015) Enzymatic decoration of prebiotic galacto-oligosaccharides (Vivinal GOS) with sialic acid using Trypanosoma cruzi trans-sialidase and two bovine sialoglycoconjugates as donor substrates. J Agric Food Chem 63: 5976-5984. doi: 10.1021/acs.jafc.5b01505
![]() |
[7] | Scudder P, Doom JP, Chuenkova M, et al. (1993) Enzymatic characterization of β-D-galactoside α2,3-transsialidase from Trypanosoma cruzi. J Biol Chem 268: 9886-9891. |
[8] | Pereira ME, Zhang K, Gong Y, et al. (1996) Invasive phenotype of Trypanosoma cruzi restricted to a population expressing trans-sialidase. Infect Immun 64: 3884-3892. |
[9] |
Paris G, Ratier L, Amaya MF, et al. (2005) A sialidase mutant displaying trans-sialidase activity. J Mol Biol 345: 923-934. doi: 10.1016/j.jmb.2004.09.031
![]() |
[10] |
Jers C, Michalak M, Larsen DM, et al. (2014) Rational design of a new Trypanosoma rangeli trans-sialidase for efficient sialylation of glycans. PLoS One 9: e83902. doi: 10.1371/journal.pone.0083902
![]() |
[11] |
Pontes-de-Carvalho LC, Tomlinson S, Nussenzweig V (1993) Trypanosoma rangeli sialidase lacks trans-sialidase activity. Mol Biochem Parasitol 62: 19-25. doi: 10.1016/0166-6851(93)90173-U
![]() |
[12] |
Amaya MF, Buschiazzo A, Nguyen T, et al. (2003) The high resolution structures of free and inhibitor-bound Trypanosoma rangeli sialidase and its comparison with T. cruzi trans-sialidase. J Mol Biol 325: 773-784. doi: 10.1016/S0022-2836(02)01306-2
![]() |
[13] |
Buschiazzo A, Tavares GA, Campetella O, et al. (2000) Structural basis of sialyltransferase activity in trypanosomal sialidases. EMBO J 19: 16-24. doi: 10.1093/emboj/19.1.16
![]() |
[14] |
Pierdominici-Sottile G, Palma J, Roitberg AE (2014) Free-energy computations identify the mutations required to confer trans-sialidase activity into Trypanosoma rangeli sialidase. Proteins 82: 424-435. doi: 10.1002/prot.24408
![]() |
[15] |
Zeuner B, Luo J, Nyffenegger C, et al. (2014) Optimizing the biocatalytic productivity of an engineered sialidase from Trypanosoma rangeli for 3'-sialyllactose production. Enzyme Microb Technol 55: 85-93. doi: 10.1016/j.enzmictec.2013.12.009
![]() |
[16] |
Michalak M, Larsen DM, Jers C, et al. (2014) Biocatalytic production of 3′-sialyllactose by use of a modified sialidase with superior trans-sialidase activity. Process Biochem 49: 265-270. doi: 10.1016/j.procbio.2013.10.023
![]() |
[17] | Zeuner B, Holck J, Perna V, et al. (2016) Quantitative enzymatic production of sialylated galactooligosaccharides with an engineered sialidase from Trypanosoma rangeli. Enzyme Microb Technol 82: 42-50. |
[18] |
Nyffenegger C, Nordvang RT, Jers C, et al. (2017) Design of Trypanosoma rangeli sialidase mutants with improved trans-sialidase activity. PLoS One 12: e0171585. doi: 10.1371/journal.pone.0171585
![]() |
[19] |
Kasche V (1986) Mechanism and yields in enzyme catalysed equilibrium and kinetically controlled synthesis of β-lactam antibiotics, peptides and other condensation products. Enzyme Microb Technol 8: 4-16. doi: 10.1016/0141-0229(86)90003-7
![]() |
[20] | van Rantwijk F, Woudenberg-van Oosterom M, Sheldon RA (1999) Glycosidase-catalysed synthesis of alkyl glycosides. J Mol Catal B-Enzym 6: 511-532. |
[21] |
Hansson T, Andersson M, Wehtje E, et al. (2001) Influence of water activity on the competition between β-glycosidase catalysed transglycosylation and hydrolysis in aqueous hexanol. Enzyme Microb Technol 29: 527-534. doi: 10.1016/S0141-0229(01)00421-5
![]() |
[22] |
Zeuner B, Jers C, Mikkelsen JD, et al. (2014) Methods for improving enzymatic trans-glycosylation for synthesis of human milk oligosaccharide biomimetics. J Agric Food Chem 62: 9615-9631. doi: 10.1021/jf502619p
![]() |
[23] | Mateo C, Palomo JM, Fernandez-Lorente G, et al. (2007) Improvement of enzyme activity, stability and selectivity via immobilization techniques. Enzyme Microb Technol 40: 1451-1463. |
[24] | Rodrigues RC, Ortiz C., Berenguer-Murcia A, et al. (2013) Modifying enzyme activity and selectivity by immobilization. Chem Soc Rev 42: 6290-6307. |
[25] |
Barbosa O, Ortiz C, Berenguer-Murcia A, et al. (2014) Glutaraldehyde in bio-catalysts design: a useful crosslinker and a versatile tool in enzyme immobilization. RSC Adv 4: 1583-1600. doi: 10.1039/C3RA45991H
![]() |
[26] | Grimsley GR, Scholtz JM, Pace CN (2009) A summary of the measured pK values of the ionizable groups in folded proteins. Protein Sci 18: 247-251. |
[27] |
Mateo C, Abian O, Bernedo M, et al. (2005) Some special features of glyoxyl supports to immobilize proteins. Enzyme Microb Technol 37: 456-462. doi: 10.1016/j.enzmictec.2005.03.020
![]() |
[28] |
Mateo C, Palomo JM, Fuentes M, et al. (2006) Glyoxyl agarose: A fully inert and hydrophilic support for immobilization and high stabilization of proteins. Enzyme Microb Technol 39: 274-280. doi: 10.1016/j.enzmictec.2005.10.014
![]() |
[29] | Barbosa O, Ortiz C, Berenguer-Murcia A, et al. (2015) Strategies for the one-step immobilization-purification of enzymes as industrial biocatalysts. Biotechnol Adv 33: 435-456. |
[30] | Zucca P, Fernandez-Lafuente R, Sanjust E (2016) Agarose and its derivatives as supports for enzyme immobilization. Molecules 21: 1577. |
[31] | Calandri C, Marques DP, Mateo C, et al. (2013) Purification, immobilization, stabilization and characterization of commercial extract with β-galactosidase activity. J Biocatal Biotransformation 2: 1-7. |
[32] |
Hartmann M, Kostrov X (2013) Immobilization of enzymes on porous silicas – benefits and challenges. Chem Soc Rev 42: 6277-6289. doi: 10.1039/c3cs60021a
![]() |
[33] |
Bernal C, Urrutia P, Illanes A, et al. (2013) Hierarchical meso-macroporous silica grafted with glyoxyl groups: opportunities for covalent immobilization of enzymes. New Biotechnol 30: 500-506. doi: 10.1016/j.nbt.2013.01.011
![]() |
[34] |
Bernal C, Sierra L, Mesa M (2014) Design of β-galactosidase/silica biocatalysts: Impact of the enzyme properties and immobilization pathways on their catalytic performance. Eng Life Sci 14: 85-94. doi: 10.1002/elsc.201300001
![]() |
[35] |
González-Delgado I, Segura Y, Morales G, et al. (2017) Production of high galacto-oligosaccharides by Pectinex Ultra SP-L: optimization of reaction conditions and immobilization on glyoxyl-functionalized silica. J Agric Food Chem 65: 1649-1658. doi: 10.1021/acs.jafc.6b05431
![]() |
[36] |
Liu Y, Li Y, Li XM, et al. (2013) Kinetics of (3-aminopropyl)triethoxysilane (APTES) silanization of superparamagnetic iron oxide nanoparticles. Langmuir 29: 15275-15282. doi: 10.1021/la403269u
![]() |
[37] | Gunda NSK, Singh M, Norman L, et al. (2014) Optimization and characterization of biomolecule immobilization on silicon substrates using (3-aminopropyl)triethoxysilane (APTES) and glutaraldehyde linker. Appl Surf Sci 305: 522-530. |
[38] | Zhang D, Hegab HE, Lvov Y, et al. (2016) Immobilization of cellulase on a silica gel substrate modified using a 3-APTES self-assembled monolayer. SpringerPlus 5: 48. |
[39] |
Nordvang RT, Nyffenegger C, Holck J, et al. (2016) It all starts with a sandwich: Identification of sialidases with trans-glycosylation activity. PLoS One 11: e0158434. doi: 10.1371/journal.pone.0158434
![]() |
[40] |
Alva V, Nam SZ, Söding J, et al. (2016) The MPI bioinformatics Toolkit as an integrative platform for advanced protein sequence and structure analysis. Nucleic Acids Res 44: W410-W415. doi: 10.1093/nar/gkw348
![]() |
[41] |
Sayle R, Milner-White EJ (1995) RasMol: Biomolecular graphics for all. Trends Biochem Sci 20: 374-376. doi: 10.1016/S0968-0004(00)89080-5
![]() |
[42] |
Fersht AR, Serrano L (1993) Principles of protein stability derived from protein engineering experiments. Curr Opin Struct Biol 3: 75-83. doi: 10.1016/0959-440X(93)90205-Y
![]() |
[43] |
Torrez M, Schultehenrich M, Livesay DR (2003) Conferring thermostability to mesophilic proteins through optimized electrostatic surfaces. Biophys J 85: 2845-2853. doi: 10.1016/S0006-3495(03)74707-9
![]() |
[44] |
Hagiwara Y, Sieverling L, Hanif F, et al. (2016) Consequences of point mutations in melanoma-associated antigen 4 (MAGE-A4) protein: Insights from structural and biophysical studies. Sci Rep 6: 25182. doi: 10.1038/srep25182
![]() |
[45] |
Lu Y, Zen KC, Muthukrishnan S, et al. (2002) Site-directed mutagenesis and functional analysis of active site acidic amino acid residues D142, D144 and E146 in Manduca sexta (tobacco hornworm) chitinase. Insect Biochem Mol Biol 32: 1369-1382. doi: 10.1016/S0965-1748(02)00057-7
![]() |
[46] | Cha J, Batt CA (1998) Lowering the pH optimum of D-xylose isomerase: the effect of mutations of the negatively charged residues. Mol Cells 8: 374-382. |
[47] |
Joshi MD, Sidhu G, Pot I, et al. (2000) Hydrogen bonding and catalysis: A novel explanation for how a single amino acid substitution can change the pH optimum of a glycosidase. J Mol Biol 299: 255-279. doi: 10.1006/jmbi.2000.3722
![]() |
[48] | Hirata A, Adachi M, Sekine A, et al. (2004) Structural and enzymatic analysis of soybean β-amylase mutants with increased pH optimum. J Biol Chem 279: 7287-7295. |
[49] |
Amaya MF, Watts AG, Damager I, et al. (2004) Structural insights into the catalytic mechanism of Trypanosoma cruzi trans-sialidase. Structure 12: 775-784. doi: 10.1016/j.str.2004.02.036
![]() |
[50] | Vandekerckhove F, Schenkman S, Pontes de Carvalho L, et al. (1992) Substrate specificity of the Trypanosoma cruzi trans-sialidase. Glycobiology 2: 541-548. |
[51] | Bridiau N, Issaoui N, Maugard T (2010) The effects of organic solvents on the efficiency and regioselectivity of N-acetyl-lactosamine synthesis, using the β-galactosidase from Bacillus circulans in hydro-organic media. Biotechnol Prog 26: 1278-1289. |
[52] |
Thiem J, Sauerbrei B (1991) Chemoenzymatic syntheses of sialyloligosaccharides with immobilized sialidase. Angew Chem Int Ed Engl 30: 1503-1505. doi: 10.1002/anie.199115031
![]() |
[53] |
Ajisaka K, Fujimoto H, Isomura M (1994) Regioselective transglycosylation in the synthesis of oligosaccharides: comparison of β-galactosidases and sialidases of various origins. Carbohydr Res 259: 103-115. doi: 10.1016/0008-6215(94)84201-9
![]() |
[54] | Marques ME, Mansur AAP, Mansur HS (2013) Chemical functionalization of surfaces for building three-dimensional engineered biosensors. Appl Surf Sci 275: 347-360. |
[55] | Ferreira L, Ramos MA, Dordick JS, et al. (2003) Influence of different silica derivatives in the immobilization and stabilization of a Bacillus licheniformis protease (Subtilisin Carlsberg). J Mol Catal B-Enzym 21: 189-199. |
[56] |
Thomä-Worringer C, Sørensen J, López-Fandiño R (2006) Health effect and technological features of caseinomacropeptide. Int Dairy J 16:1324-1333. doi: 10.1016/j.idairyj.2006.06.012
![]() |
[57] | Koshland D (1953) Stereochemistry and the mechanism of enzymatic reactions. Biol Rev 28: 416-436. |
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