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Analysis of allosteric effect of pathologic variants at the light of local protein conformations

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HAL Id: inserm-01853665

https://www.hal.inserm.fr/inserm-01853665

Submitted on 3 Aug 2018

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Analysis of allosteric effect of pathologic variants at the light of local protein conformations

Alexandre de Brevern

To cite this version:

Alexandre de Brevern. Analysis of allosteric effect of pathologic variants at the light of local protein conformations. Belgrade BioInformatics Conference – BelBi 2018, Jun 2018, Belgrade, Serbia. �inserm-01853665�

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Analysis of allosteric effect of pathologic variants at

the light of local protein conformations

Alexandre G. de Brevern

INSERM UMR_S 1134, team 2 – DSIMB, Univ. Paris Diderot, Sorbonne Paris Cité,

Univ de la Réunion, Univ des Antilles, Institut National de la Transfusion Sanguine

(INTS), GR-Ex

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DSIMB: a bioinformatics team

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Our main goal:

Sequence - Structure Function & Dynamics

Methodological developments and applications

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DSIMB: a bioinformatics team

Our main goal:

Sequence - Structure Function & Dynamics

Methodological developments and applications

Red Blood Cells and Platelets

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A part of the journey

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v  Why going beyond classical secondary structure ?

v  How ?

v  How is it useful for analysis of protein dynamics ?

v  Can it be used also for protein disorder ?

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8

helix

(1/3 of residues)

strands (1/5 of residues)

The secondary structures

Ø  That’s the only data we have

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Assignment example for the Hhai Méthyltransferase protein (PDB code :10MH) by DSSP, STRIDE, PSEA, DEFINE, PCURVE, XTLSSTR and SECSTR.

L. Fourrier, C. Benros & A.G. de Brevern (BMC Bioinfo,2004) No simple

concensus

between methods

Secondary structures: some

questions

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J. Martin, G. Letellier, J.F. Taly, A. Martin, A.G. de Brevern & J.F. Gibrat (BMC Structural Biology, 2005)

Secondary structures: some

questions

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Moreover …

Secondary structures: some

questions

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Secondary structures: some

questions

Ø  It is possible to look at protein structures in a different ways

Ø  At a local level.

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Structural alphabet

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Structural alphabet

Ø  Structural Alphabet (SA):

Structure translation (3D -> 1D)

3D protein structure 1D Sequence

de Brevern A.G., Etchebest C. & Hazout, S. (Proteins, 2000).

>2aak ZZfklmmmmmmmmmmmmmccehi acdddfkbmkbccddddddehia kgopacdddddddfkbckbccdd ddfbdcddfklcfkopacdfklm mmgcfkbcfklmmmmmmmmmmmc cfklcfblmlmmmmmmmmmlmmm mmmmmmmmmmZZ

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Structural alphabet

16 16 >153L [secondary structures] HHHHCCCCCCCCCCCCCCCHHHHHHCCCCCCCHHHHHHH HHHHHHHHHHHHHHHHCCCCCCCHHHHHHHHHCCCCCCC CCCCCCCCCCCCCCCCCCCCCCCCCCHHHHHHHHHHHHH HHHHHHHHHCCCCCHHHHHHHHHHHCCCCEEEEECCCCC CCCHHHHHHHHHHHHHHCCCC >153L [secondary structures] HHHH HHHHHH HHHHHHH HHHHHHHHHHHHHHHH HHHHHHHHH HHHHHHHHHHHHH HHHHHHHHH HHHHHHHHHHH EEEEE HHHHHHHHHHHHHH >153L [structural alphabet] ZZmnopfklpccebjafklmmmnopabecjklmmmmmmmmm mmmmmmmmmmmmmmmmnopafklmmmmmmmmnooolapgeh iafkopagcjkopafklmccehjfklmklmmmmmmmmmmmm mmmmmmmmmbcfklmmmmmmmmmmnomklmnbfklmmgoia hilmmmmmmmmmmmmmmnoZZ

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Structural alphabet

16 Protein Blocks Pr. Serge Hazout

de Brevern A.G., Etchebest C. & Hazout, S. (Proteins, 2000).

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Structural alphabet

Ø  Superimposition of 3D protein structures

18 18

Narayaswami Srinivasan

(IISc Bangalore)

Joseph A.P., Srinivasan N. & de Brevern A.G. (2011) Biochimie, 93(9):1434-45.

Agarwal G., Mahajan S., Srinivasan N. & de Brevern A.G. (2012) PLoS ONE, 6(3):e17826. Gelly J.-C., Joseph A.P., Srinivasan N. & de Brevern A.G. (2011), Nucleic Acid Res, 39:W18-23. Joseph A.P., Srinivasan N. & de Brevern A.G. (2012) Biochimie, 94:2025-34.

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Structural alphabet

Ø  Protein interface analyses

19

PB d + Nt 19 PDB code3eh8

Schneider B., Cerný J., Svozil D., Cech P., Gelly J.-C. & de Brevern A.G. (2014) Nucl Acid Res, 42(5):3381-94.

Bohdan Schneider

(Biotechnology and Biomedicine Center of the

Academy of Sciences, Prague)

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Structural alphabet

20 20 >153L TDCYGNVNRIDTTGASCKTAKPEGL SYCGVSASKKIAERDLQAMDRYKTI IKKVGEKLCVEPAVIAGIISRESHA GKVLKNGWGDRGNGFGLMQVDKRSH KPQGTWNGEVHITQGTTILINFIKT IQKKFPSWTKDQQLKGGISAYNAGA GNVRSYARMDIGTTHDDYANDVVAR AQYYKQHGY >153L ZZmnopfklpccebjafklmmmnopa becjklmmmmmmmmmmmmmmmmmmmm mmmmmnopafklmmmmmmmmnooola pgehiafkopagcjkopafklmcceh jfklmklmmmmmmmmmmmmmmmmmmm mmbcfklmmmmmmmmmmnomklmnbf klmmgoiahilmmmmmmmmmmmmmmn oZZ Structural fold Prediction of PBs Structural analogy Dr. J.-C. Gelly

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Structural alphabet

v  The most used structural alphabet at this day (Web Of Sciences: 156

citations, Google scholar: 288)

v  More than 20 teams worldwide

v  Used for local and global analysis, prediction (locale, specific,

flexibility), le protein design, building of structural models, etc.

21 Analysis of molecular

dynamics of protein and peptide

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STRUCTURAL ALPHABET &

FLEXIBILITY: MD

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Integrins

Integrins Dr. Vincent Jallu Platelet departement

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Integrins

One complex (Integrin):

- Glanzmann's thrombasthenia is an abnormality of the platelets, an extremely rare coagulopathy.

- Fetal / Neonatal alloimmune thrombocytopenia (FNAIT), a severe bleeding syndrome in which fetal / neonatal platelet destruction is mediated by maternal antibodies directed to specific antigens (or alloantigens) inherited from the father Also the only blood group not on Red Blood Cells.

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Integrins

Ø  This protein is very flexible

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We compute Root Mean Square Fluctuation (RMSF)

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Integrins

Ø  This protein is very flexible

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ZZfklmnopabfklmmmnpfkbccdfblkbcchiaeh iafklmmmnopafklpccdddddddfbdcdddfblmb ckbccdfbdcfbdcddddehiacdddddddddehiac dddddddfbfklmmmmmmmmmgojlmmmmmmmnpcbd cdddddddddddfklpcfbdfklmnomclmmmbdcdd debiadfbdcbfblklmmmmmmmmccdddfblbdcfk lmmmmmmmommmnopafkbcdddddddfbdcddehkl mmnopabccehpacbdfkopafblmmpccddfklmmm mmmmnopacdddbdfklmmmmmmmmmmmghiacdddd fklmmmmmmmmmmmmmmmncccdddehiafkbccddd ddfehjbccehiabdehiaghiacddddddddehjdd fdddddddddehiabdcdddddddfbdfklmmpcfbg cknojhiaccehhiacddehiacjkopafgehjlmng jiafbfblkbcehiopaccehhiacdfbdchiaaedj kopaccblbccfblpehhlpaccehhiacddehiacj kopacfbfklmmgfkopghhlpaccehhiacdfbghi edjkopacckbccfklmmmmmmmmmmnopajklmmmk lmmmomcdcdddfbdcdebiacdcdddddfkopacdd dddddfkopacddddfbdcdddZZ

Integrins

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Integrins

Ø  Then count for every snapshots, the frequency of PBs

29

h

sequence

P

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Integrins

Ø  Both sets of simulations are quite similar

30 L P N eq •  Neq : equivalent number of PBs

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Integrins

Ø  But position 33 is not ‘flexible’, it stays highly constraint è mobile

PB h

PB i PB a

N

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Integrins

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Conclusion

Ø  Not real change of the epitope, always highly accessible

Ø  But not flexible, it is mobile within deformable regions

Ø  Proof of interest of Protein Blocks for the analysis => does not correlate with RMSf

Jallu V. Poulain P., Fuchs P., Kaplan C., de Brevern A.G. (PlosOne, 2012) Jallu V. Poulain P., Fuchs P., Kaplan C., de Brevern A.G. (Biochimie, 2014)

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Allostery

Ø  A more systematic approach: an example of Calf-1 domain

Ø  Calf-1 domain : 141 residus (603-743) from α chain

Ø  7 mutations involved in GT: - L653R - C674R - L721V / L721R - R724P / R724Q - P741R 33 Matthieu Goguet (master 2 student) Scientific Reports 2017

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Allostery

Ø  Analysis of WT Calf-1 34 RMSF * * * *

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Allostery

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Allostery

Ø  More details in

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Allostery

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Allostery

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Conclusion (1)

Ø  Reliable, automated and efficient molecular dynamics protocol with interesting use of Protein Blocks

Ø  Results on Calf-1 : no changes on mutation spots but structural local impact observed at another place.

Ø  Does these allosteric effects are common to all of these variants ?

Ø  Future: Study of this and others integrins

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Recent results

Ø  Last developments: deposit on ArXiv, now published in PeerJ

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Recent results

Calf-1 + Calf- 2

Ø  No impact of the forcefield used

Ø  No impact on the domains cutting

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Soubika Bisoo

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Recent results

Calf-1 + Calf- 2

Ø  BUT allosteric effect of Calf-2 variant on Calf-1 domain !

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Calf-1: ΔPB

Loop 3 Strand 1 Loop 8 Loop 4 Loop 6 Loop 1 Loop 9 Loop 2

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Conclusions (2)

Ø  Secondary structures are useful tools, but they have their own limitations

Ø  Other complementary approaches are interesting, i.e., a simple structural alphabet as the Protein Blocks

Ø  They can help to analyze molecular dynamics, i.e., you can see what you can see without.

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Flexibility, mobility, disorder

Ø  Thanks to last Belbi 2016, I am now really more interested into this question

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Flexibility, mobility, disorder

Ø  Thanks to last Belbi 2016, I am now really more interested into this question

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Flexibility, mobility, disorder

Ø  Thanks to last Belbi 2016, I am now really more interested into this question

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Flexibility, mobility, disorder

Ø  PBs can be a good tool for that… needs more works

50

Rigid

è

flexible

è disorder

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Acknowledgments

S. Hazout C. Etchebest P. Poulain P. Fuchs V. Jallu C. Kaplan R. Petermann T.J. Narwani M. Goguet S. Sali S. Kaddhar S. Bisoo N. Shinada N. Srinivasan B. Schneider N. Mitic

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