CN109448784A - A kind of Advances in protein structure prediction based on the selection of dihedral angle information auxiliary energy function - Google Patents

A kind of Advances in protein structure prediction based on the selection of dihedral angle information auxiliary energy function Download PDF

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CN109448784A
CN109448784A CN201810994128.2A CN201810994128A CN109448784A CN 109448784 A CN109448784 A CN 109448784A CN 201810994128 A CN201810994128 A CN 201810994128A CN 109448784 A CN109448784 A CN 109448784A
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protein
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CN109448784B (en
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李章维
孙科
肖璐倩
郝小虎
周晓根
张贵军
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Guangzhou Zhaoji Biotechnology Co ltd
Shenzhen Xinrui Gene Technology Co ltd
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Zhejiang University of Technology ZJUT
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Abstract

A kind of Advances in protein structure prediction based on the selection of dihedral angle information auxiliary energy function, firstly, according to dihedral angle information is extracted in the corresponding ramachandran map Ramachandran Ramachandran plot of residue of protein;Secondly, using in Rosetta algorithm energy function and dihedral angle information conformation is assessed;Then, two scores are given respectively with different weights, designs a new scoring functions, the conformation after segment assembling selected using this scoring functions, to reduce the influence of energy function lax pair protein three-dimensional structure generation;Finally, carrying out global search and local search to conformation, on the basis of guaranteeing conformation global Topological Structure, the structure of part is enhanced, to obtain the structure of more nearly native states.The present invention provide a kind of ability in sampling is preferable, precision of prediction it is higher based on dihedral angle information auxiliary energy function selection Advances in protein structure prediction.

Description

A kind of protein structure prediction based on the selection of dihedral angle information auxiliary energy function Method
Technical field
The present invention is that one kind is related to biological information, molecular dynamics simulation, statistical learning and Combinatorial Optimization, computer Application field, more particularly to, a kind of Advances in protein structure prediction based on the selection of dihedral angle information auxiliary energy function.
Background technique
Protein is that most wide, most complicated protein is distributed in organism, is played in various processes related with life Vital effect, such as transport, adjust and defend process.
The structure of protein can be divided into three levels:
1) primary structure of protein refers to the amino acid sequence in polypeptide chain.
2) secondary structure refers to the partial structurtes of height rule on practical polypeptide backbone.There are two kinds of major type of second level knots Structure, alpha-helix and beta chain.
3) tertiary structure refers to the three-dimensional structure of monomer and polymer protein molecule.Alpha-helix and beta-pleated sheet are folded At fine and close chondritic.
4) the 4th structure is two or more individual polypeptide chain (subunit) aggregations by running as simple function unit The three-dimensional structure of composition.
Protein certain biological functions of competence exertion only after being folded into specific structure, therefore understands that the knot of protein For structure to understanding that it is that central nervous system is extremely important, its infection sources is a kind of certain types of mistake for being referred to as prion Unfolded protein.Under normal circumstances, prion is α-helixstructure, but under specific circumstances, it can be twisted into β chain structure, This is virulence factor.The experimental method for obtaining protein three-dimensional structure includes X-ray crystallography, nuclear magnetic resonance spectroscopy, low temperature Electron microscopy etc..In the past few decades, protein sequence database (UniProt) and Protein structure databases (PDB) data in are exponentially increased.However, it is more much easier than obtaining protein structural database to obtain protein sequence data. Importantly, laboratory facilities are always time-consuming huge and expensive.By 2 months 2018, the protein sequence less than 0.127% was It is determined through experimentation three-dimensional structure.Therefore, work is very important from the calculation method of protein prediction structure.This Outside, the experiment of Anfinsen is shown, natural structure is only determined by the amino acid sequence of protein.In other words, the structure of protein Information is included in its sequence, this shows can be used calculation method from sequence prediction structure.Due to similar protein sequence Usually there is similar three-dimensional structure, therefore exist and use the known structure in PDB as the homology modeled method of template, this It is the most accurate method for being used for protein structure prediction so far.With the growth of database, more and more protein Accurate protein structure can be obtained by homologous templates.Homologous modeling can effectively predict protein structure, but its is pre- Survey the sequence identity that accuracy depends between target protein and stay in place form.(it is greater than when sequence identity is relatively high 30%) when, homology modeling methods generally can be with higher accuracy prediction tertiary protein structure, and when sequence identity is lower Then fail.Different from Structure Prediction Methods (such as homology modeled) based on template, ab initio prediction method does not depend on any known Structure, and pass through the natural structure of stable conformation method search target protein.Wherein, segment package technique is widely used, It is using the fragment assembly of multiple protein structures at target protein structure in protein structure.During ab initio prediction, There are two the bottlenecks being primarily present at present, one be energy landscape duplicity so that obtain the low conformation of energy be not day The conformation of right state, is embodied in the inaccurate of energy function, the conformation that cannot have been picked out;Another is then existing technology To the deficiency of the ability in sampling of conformational space, it is embodied in conformation lack of diversity.
Therefore, there is defects in terms of precision of prediction and ability in sampling for present Advances in protein structure prediction, need It improves.
Summary of the invention
In order to overcome existing Advances in protein structure prediction ability in sampling and the insufficient defect of precision of prediction, the present invention is mentioned A kind of ability in sampling is preferable out, the higher protein structure based on the selection of dihedral angle information auxiliary energy function of precision of prediction is pre- Survey method, on the basis of Rosetta algorithm, introduce stage by stage segment assembling, and using energy function to conformation into A kind of new index is proposed while row evaluation, the tendentiousness of the dihedral angle based on ramachandran map Ramachandran Ramachandran plot is led to This index and energy function are crossed, two different weights are added, a kind of new scoring functions is devised, segment is assembled Conformation afterwards is given a mark, and judges whether the conformation is received according to Metropolis criterion.This method can effectively subtract The problem low due to the inaccurate caused protein structure prediction precision of energy function is improved in small conformation sample space.
The technical solution adopted by the present invention to solve the technical problems is:
It is a kind of based on dihedral angle information auxiliary energy function selection Advances in protein structure prediction, the method includes with Lower step:
1) parameter setting: protein sequence length L, initialization the number of iterations are Ii, global search the number of iterations is Ig, office Portion's search iteration number is Il
2) information pre-processing, starting protein sequence given first, forms the maximum extended chain of free energy according to the sequence, Wherein dihedral angle φ,ω is respectively set to -150 °, -150 ° and 180 °, obtains the protein difference secondary structure difference residue The corresponding ramachandran map Ramachandran Ramachandran plot of type;
3) conformation initializes, and is initialized using the stage1 in Rosetta ab initio method to initial configurations, Residue on each resi-dues of initial configurations is replaced more than at least once or reaches maximum initialization the number of iterations IiThen It is considered as and initializes successfully;
4) it is given a mark by the middle energy function of Rosetta algorithm to conformation, the Energy Fraction of conformation is Energyscore
5) conformation Rama score is calculated, by ramachandran map Ramachandran Ramachandran plot to the two of each residue position of conformation Face angle is assessed, and assessment formula is as follows:
Wherein, φa,It is two dihedral angles of residue a, res (a) is the residue type of residue a, and ss (a) is residue a Secondary structure types, wherein secondary structure types are obtained by DSSP algorithm, and the assessment result summation of each residue position can be obtained To the Rama score Rama of conformationscore
6) scoring functions are designed, Energy Fraction Energy is obtained by step 4)scoreAnd the resulting Rama of step 5) points Number RamascoreDesign following scoring functions:
E (C)=weEnergyscore+wrRamascore
Wherein, weAnd wrThe respectively corresponding weight of Energy Fraction Rama score, C are the conformation being scored, with this dozen Function is divided to give a mark conformation;
7) conformation global search assembles the conformation C segment for carrying out 9 segments, obtains conformation C ', then designed with step 6) Scoring functions give a mark to the individual of segment assembling front and back, obtain E (C) and E (C '), if E (C) < E (C '), receive a Body C ', if E (C) > E (C '), according to Boltzmann probabilityReceive individual, wherein Δ E=E (C)-E (C ') is the energy difference that segment assembles latter two individual, and kT is temperature coefficient, carries out I to the conformation after receptiongSecondary search, is searched Rope process is as described above, reach IgEnter conformation local search after secondary search;
8) conformation local search assembles the conformation C segment for carrying out 3 segments, obtains conformation C ', then designed with step 6) Scoring functions give a mark to the individual of segment assembling front and back, obtain E (C) and E (C '), if E (C) < E (C '), receive a Body C ', if E (C) > E (C '), according to Boltzmann probabilityReceive individual, wherein Δ E=E (C)-E (C ') is the energy difference that segment assembles latter two individual, and kT is temperature coefficient, carries out I to the conformation after receptionlSecondary search, is searched Rope process is as described above, reach IlThe entire search process of conformation is completed after secondary search;
9) it saves final conformation and records output Constellation information.
Technical concept of the invention are as follows: the present invention proposes a kind of based on dihedral angle information auxiliary under the frame of group's algorithm The Advances in protein structure prediction of energy function selection.Firstly, according to the corresponding ramachandran map Ramachandran Ramachandran of residue of protein Dihedral angle information is extracted in plot;Secondly, using in Rosetta algorithm energy function and dihedral angle information to conformation carry out Assessment;Then, two scores are given respectively with different weights, designs a new scoring functions, uses this scoring functions Conformation after segment assembling is selected, to reduce the influence of energy function lax pair protein three-dimensional structure generation; Finally, global search and local search are carried out to conformation, on the basis of guaranteeing conformation global Topological Structure, to the knot of part Structure is enhanced, to obtain the structure of more nearly native states.
Beneficial effects of the present invention show themselves in that the energy function and residue of protein on the one hand used in Rosetta Dihedral angle information in corresponding ramachandran map Ramachandran Ramachandran plot scores to conformation, on the basis of the two indexs The new scoring functions of one kind are devised to give a mark to know selection, to improve the standard of prediction to the conformation after segment assembling True rate, reducing the inaccurate bring of energy function influences.On the other hand, it in the search process of conformation sample space, is using Global search is formed on the basis of the overall topology of conformation, and conformation local search procedure is added to enhance the part knot of conformation Structure increases the structure diversity of conformation, and then samples the conformation closer to native state.
Detailed description of the invention
Fig. 1 be based on dihedral angle information auxiliary energy function selection Advances in protein structure prediction to protein 1AIL into The conformation distribution map obtained when row structure prediction.
Fig. 2 be based on dihedral angle information auxiliary energy function selection Advances in protein structure prediction to protein 1AIL into The tomograph that row structure prediction obtains.
Specific embodiment
The present invention is described further with reference to the accompanying drawing.
Referring to Figures 1 and 2, a kind of Advances in protein structure prediction based on the selection of dihedral angle information auxiliary energy function, It the described method comprises the following steps:
1) parameter setting: protein sequence length L, initialization the number of iterations are Ii, global search the number of iterations is Ig, office Portion's search iteration number is Il
2) information pre-processing, starting protein sequence given first, forms the maximum extended chain of free energy according to the sequence, Wherein dihedral angle φ,ω is respectively set to -150 °, -150 ° and 180 °, obtains the protein difference secondary structure difference residue The corresponding ramachandran map Ramachandran Ramachandran plot of type;
3) conformation initializes, and is initialized using the stage1 in Rosetta ab initio method to initial configurations, Residue on each resi-dues of initial configurations is replaced more than at least once or reaches maximum initialization the number of iterations IiThen It is considered as and initializes successfully;
4) it is given a mark by the middle energy function of Rosetta algorithm to conformation, the Energy Fraction of conformation is Energyscore
5) conformation Rama score is calculated, by ramachandran map Ramachandran Ramachandran plot to the two of each residue position of conformation Face angle is assessed, and assessment formula is as follows:
Wherein, φa,It is two dihedral angles of residue a, res (a) is the residue type of residue a, and ss (a) is residue a Secondary structure types, wherein secondary structure types are obtained by DSSP algorithm, and the assessment result summation of each residue position can be obtained To the Rama score Rama of conformationscore
6) scoring functions are designed, Energy Fraction Energy is obtained by step 4)scoreAnd the resulting Rama of step 5) points Number RamascoreDesign following scoring functions:
E (C)=weEnergyscore+wrRamascore
Wherein, weAnd wrThe respectively corresponding weight of Energy Fraction Rama score, C are the conformation being scored, with this dozen Function is divided to give a mark conformation;
7) conformation global search assembles the conformation C segment for carrying out 9 segments, obtains conformation C ', then designed with step 6) Scoring functions give a mark to the individual of segment assembling front and back, obtain E (C) and E (C '), if E (C) < E (C '), receive a Body C ', if E (C) > E (C '), according to Boltzmann probabilityReceive individual, wherein Δ E=E (C)-E (C ') is the energy difference that segment assembles latter two individual, and kT is temperature coefficient, carries out I to the conformation after receptiongSecondary search, is searched Rope process is as described above, reach IgEnter conformation local search after secondary search;
8) conformation local search assembles the conformation C segment for carrying out 3 segments, obtains conformation C ', then designed with step 6) Scoring functions give a mark to the individual of segment assembling front and back, obtain E (C) and E (C '), if E (C) < E (C '), receive a Body C ', if E (C) > E (C '), according to Boltzmann probabilityReceive individual, wherein Δ E=E (C)-E (C ') is the energy difference that segment assembles latter two individual, and kT is temperature coefficient, carries out I to the conformation after receptionlSecondary search, is searched Rope process is as described above, reach IlThe entire search process of conformation is completed after secondary search;
9) it saves final conformation and records output Constellation information.
For the α unfolded protein 1AIL that the present embodiment is 73 using sequence length as embodiment, one kind is auxiliary based on dihedral angle information The Advances in protein structure prediction for helping energy function to select, the described method comprises the following steps:
1) parameter setting: protein sequence length L=73, initialization the number of iterations are Ii=1000, global search iteration Number is Ig=12000, local search the number of iterations is Il=20000;
2) information pre-processing, starting protein sequence given first, forms the maximum extended chain of free energy according to the sequence, Wherein dihedral angle φ,ω is respectively set to -150 °, -150 ° and 180 °, obtains the protein difference secondary structure difference residue The corresponding ramachandran map Ramachandran Ramachandran plot of type;
3) conformation initializes, and is initialized using the stage1 in Rosetta ab initio method to initial configurations, Residue on each resi-dues of initial configurations is replaced more than at least once or reaches maximum initialization the number of iterations 1000 It initializes successfully;
4) it is given a mark by the middle energy function of Rosetta algorithm to conformation, the Energy Fraction of conformation is Energyscore
5) conformation Rama score is calculated, by ramachandran map Ramachandran Ramachandran plot to the two of each residue position of conformation Face angle is assessed, and assessment formula is as follows:
Wherein, φa,It is two dihedral angles of residue a, res (a) is the residue type of residue a, and ss (a) is residue a Secondary structure types, wherein secondary structure types are obtained by DSSP algorithm, and the assessment result summation of each residue position can be obtained To the Rama score Rama of conformationscore
6) scoring functions are designed, Energy Fraction Energy is obtained by step 4)scoreAnd the resulting Rama of step 5) points Number RamascoreDesign following scoring functions:
E (C)=weEnergyscore+wrRamascore
Wherein, we=0.5 and wr=0.5 is respectively the corresponding weight of Energy Fraction Rama score, and C is scored Conformation gives a mark to conformation with the scoring functions;
7) conformation global search assembles the conformation C segment for carrying out 9 segments, obtains conformation C ', then designed with step 6) Scoring functions give a mark to the individual of segment assembling front and back, obtain E (C) and E (C '), if E (C) < E (C '), receive a Body C ', if E (C) > E (C '), according to Boltzmann probabilityReceive individual, wherein Δ E=E (C)-E (C ') is the energy difference that segment assembles latter two individual, and kT=2 is temperature coefficient, is carried out 12000 times to the conformation after reception Search, search process is as described above, into conformation local search after reaching 12000 search;
8) conformation local search assembles the conformation C segment for carrying out 3 segments, obtains conformation C ', then designed with step 6) Scoring functions give a mark to the individual of segment assembling front and back, obtain E (C) and E (C '), if E (C) < E (C '), receive a Body C ', if E (C) > E (C '), according to Boltzmann probabilityReceive individual, wherein Δ E=E (C)-E (C ') is the energy difference that segment assembles latter two individual, and kT=2 is temperature coefficient, is carried out 20000 times to the conformation after reception Search, search process is as described above, reach the entire search process of completion conformation after 20000 search;
9) it saves final conformation and records output Constellation information.
The α unfolded protein 1AIL for being 73 using sequence length has obtained the protein with above method as embodiment Nearly native state conformation, lowest mean square root deviation areAverage root-mean-square deviation isPre- geodesic structure is as shown in Figure 2.
Described above is the effect that is obtained using 1AIL protein by example of the present invention, and non-limiting implementation model of the invention It encloses, various changes and improvements is done to it under the premise of without departing from range involved by basic content of the present invention, should not exclude at this Except the protection scope of invention.

Claims (1)

1. a kind of Advances in protein structure prediction based on the selection of dihedral angle information auxiliary energy function, which is characterized in that described Method the following steps are included:
1) parameter setting: protein sequence length L, initialization the number of iterations are Ii, global search the number of iterations is Ig, locally search Rope the number of iterations is Il
2) information pre-processing, starting protein sequence given first, forms the maximum extended chain of free energy according to the sequence, wherein Dihedral angle φ,ω is respectively set to -150 °, -150 ° and 180 °, obtains the protein difference secondary structure difference residue type Corresponding ramachandran map Ramachandran Ramachandran plot;
3) conformation initializes, and is initialized using the stage1 in Rosetta ab initio method to initial configurations, initially Residue on each resi-dues of conformation is replaced more than at least once or reaches maximum initialization the number of iterations IiThen it is considered as It initializes successfully;
4) it is given a mark by the middle energy function of Rosetta algorithm to conformation, the Energy Fraction of conformation is Energyscore
5) conformation Rama score is calculated, by ramachandran map Ramachandran Ramachandran plot to the dihedral angle of each residue position of conformation It is assessed, assessment formula is as follows:
Wherein, φa,It is two dihedral angles of residue a, res (a) is the residue type of residue a, and ss (a) is the second level of residue a Structure type, wherein secondary structure types are obtained by DSSP algorithm, and structure can be obtained in the assessment result summation of each residue position The Rama score Rama of elephantscore
6) scoring functions are designed, Energy Fraction Energy is obtained by step 4)scoreAnd the resulting Rama score of step 5) RamascoreDesign following scoring functions:
E (C)=weEnergyscore+wrRamascore
Wherein, weAnd wrThe respectively corresponding weight of Energy Fraction Rama score, C are the conformation being scored, with the marking letter Several pairs of conformations are given a mark;
7) conformation global search assembles the conformation C segment for carrying out 9 segments, obtains conformation C ', then beaten with what step 6) designed Divide function to give a mark the individual of segment assembling front and back, E (C) and E (C ') is obtained, if E (C) < E (C '), receives individual C ', if E (C) > E (C '), according to Boltzmann probabilityReceive individual, wherein Δ E=E (C)-E (C ') The energy difference of latter two individual is assembled for segment, kT is temperature coefficient, carries out I to the conformation after receptiongSecondary search, was searched for Journey is as described above, reach IgEnter conformation local search after secondary search;
8) conformation local search assembles the conformation C segment for carrying out 3 segments, obtains conformation C ', then beaten with what step 6) designed Divide function to give a mark the individual of segment assembling front and back, E (C) and E (C ') is obtained, if E (C) < E (C '), receives individual C ', if E (C) > E (C '), according to Boltzmann probabilityReceive individual, wherein Δ E=E (C)-E (C ') The energy difference of latter two individual is assembled for segment, kT is temperature coefficient, carries out I to the conformation after receptionlSecondary search, was searched for Journey is as described above, reach IlThe entire search process of conformation is completed after secondary search;
9) it saves final conformation and records output Constellation information.
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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110706741A (en) * 2019-08-27 2020-01-17 浙江工业大学 Multi-modal protein structure prediction method based on sequence niche
CN110729024A (en) * 2019-08-27 2020-01-24 浙江工业大学 Protein structure model quality evaluation method based on topological structure similarity
CN110853704A (en) * 2019-11-11 2020-02-28 腾讯科技(深圳)有限公司 Protein data acquisition method, protein data acquisition device, computer equipment and storage medium
CN111863140A (en) * 2020-06-15 2020-10-30 深圳晶泰科技有限公司 Method for testing and fitting force field dihedral angle parameters
CN114121146A (en) * 2021-11-29 2022-03-01 山东建筑大学 RNA three-level structure prediction method based on parallel and Monte Carlo strategies

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1328601A (en) * 1998-08-25 2001-12-26 斯克利普斯研究院 Methods and systems for predicting protein function
CN1602487A (en) * 2001-12-10 2005-03-30 富士通株式会社 Apparatus for predicting stereostructure of protein and prediction method
CN107220520A (en) * 2017-07-11 2017-09-29 苏州国利倍康软件科技有限公司 A kind of g protein coupled receptor drug target bag structure Forecasting Methodology

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1328601A (en) * 1998-08-25 2001-12-26 斯克利普斯研究院 Methods and systems for predicting protein function
CN1602487A (en) * 2001-12-10 2005-03-30 富士通株式会社 Apparatus for predicting stereostructure of protein and prediction method
CN107220520A (en) * 2017-07-11 2017-09-29 苏州国利倍康软件科技有限公司 A kind of g protein coupled receptor drug target bag structure Forecasting Methodology

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
DEBARATI DASGUPTA等: "《From Ramachandran Maps to Tertiary Structures of Proteins》", 《THE JOURNAL OF PHYSICAL CHEMISTRY B》 *
SCOTT A. HOLLINGSWORTH等: "《A fresh look at the Ramachandran plot and the occurrence of standard structures in proteins》", 《BIOMOL CONCEPTS》 *
XUEFENG CUI等: "《Protein Structure Idealization How accurately is it possible to model protein structures with dihedral angles?》", 《ALGORITHMS FOR MOLECULAR BIOLOGY》 *
张贵军等: "《动态步长蛋白质构象空间搜索方法》", 《吉林大学学报(工学版)》 *

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110706741A (en) * 2019-08-27 2020-01-17 浙江工业大学 Multi-modal protein structure prediction method based on sequence niche
CN110729024A (en) * 2019-08-27 2020-01-24 浙江工业大学 Protein structure model quality evaluation method based on topological structure similarity
CN110729024B (en) * 2019-08-27 2021-12-17 浙江工业大学 Protein structure model quality evaluation method based on topological structure similarity
CN110853704A (en) * 2019-11-11 2020-02-28 腾讯科技(深圳)有限公司 Protein data acquisition method, protein data acquisition device, computer equipment and storage medium
CN110853704B (en) * 2019-11-11 2020-11-06 腾讯科技(深圳)有限公司 Protein data acquisition method, protein data acquisition device, computer equipment and storage medium
CN111863140A (en) * 2020-06-15 2020-10-30 深圳晶泰科技有限公司 Method for testing and fitting force field dihedral angle parameters
CN111863140B (en) * 2020-06-15 2022-04-15 深圳晶泰科技有限公司 Method for testing and fitting force field dihedral angle parameters
CN114121146A (en) * 2021-11-29 2022-03-01 山东建筑大学 RNA three-level structure prediction method based on parallel and Monte Carlo strategies
CN114121146B (en) * 2021-11-29 2023-10-03 山东建筑大学 RNA tertiary structure prediction method based on parallel and Monte Carlo strategies

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Patentee before: GUANGZHOU ZHAOJI BIOTECHNOLOGY CO.,LTD.