| Can I submit jobs in background and continue to do  other work? | 
                    
                      | Yes, users can submit jobs in background in VLifeMDS.  The status, start time, end time, details of the submitted job can be verified  in Task Manager. | 
                    
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                      | How to return to normal  view mode after I open full screen? | 
                    
                      | Users can either click Esc from keyboard or right click on the mouse and  select Normal View from the menu to return to normal view. | 
                    
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                      | What are the system  requirements for using VLifeMDS? | 
                      | Operating systems: | Windows® XP, Windows Vista®, Windows 7, Linux (Fedora, Ubuntu, CentOS) | 
                    
                      | Recommended hardware: | Minimum free hard disk space: 1 GB Minimum required memory: 2 GB
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                      | Graphic cards: | Standard graphic card (supporting OpenGL) | 
                    
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                      | How can I save molecule as  a group or as a template? | 
                    
                      | VLifeMDS provides a facility to save user-specific atomic groups, which  are used frequently. This feature enables the user to add a customized group to  a ‘Group Class’. VLifeMDS also provides a facility using which a user can build a  customized template for combinatorial library design. | 
                    
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                      | How can I select multiple  columns and rows in a worksheet? | 
                    
                      | Users can use the shift key to select multiple rows and column. | 
                    
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                      | Can I run my jobs in a  batch mode? | 
                    
                      | Yes. Users can optimize the molecules using Batch Optimize and dock  ligands using Batch docking functions. | 
					
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                      | How can I insert activity  file in the worksheet while doing 2D and 3D QSAR? | 
                    
                      | Users can add a column in the worksheet and can insert activity from the  experimental data corresponding to each molecule and save the file as .col2.  User can import the saved .col2 file as and when the particular file is  required. | 
                    
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                      | Which are the file formats  that VLifeMDS supports in QSAR worksheet? | 
                    
                      | Worksheet scans for existence of VLifeMDS standard files  "*.mds" and "*.mol2". If both file types are present first  .mds and then .mol2 file format will open. | 
                    
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                      | What are the types of  molecular descriptors? | 
                    
                      | Following are some types of molecular descriptors: 
                          Topological Index Connectivity Index Center of Mass Radius of Gyration Moment of Inertia Wiener Index Balban Index Centric Index Hosaya Index Information Based Indices xlogP Hydrophobicity Element Count Path Count Chain Count Cluster/ Path cluster Count Molecular Connectivity Index Valence Molecular Connectivity Index Molecular connectivity Index of Chain fragment Valence Molecular connectivity Index of chain fragment Molecular connectivity Index of cluster/ path cluster Valence Molecular connectivity Index of chiV3cluster/ chiV4pathcluster Kappa Values Electrotopological atom_type count Electrotopological State Indices  | 
                    
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                      | Where will I get VLife software QSAR descriptor definations? | 
                    
                      | For descriptor defination click here.... | 
                    
                      | How can I specify  dependency of the calculated descriptors in the worksheet while building a  QSAR? | 
                    
                      | Users should select activity as dependent variable and all the other  descriptors as independent variables. If users continue with the calculation  from a previous run then they may choose the previous selection of dependent  and independent variables. | 
                    
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                      | What could be a  conventional ratio to select the test set for QSAR? | 
                    
                      | The test set for QSAR should be selected in ratio of 20-40%. Rest of the  dataset should be selected as training set. | 
                    
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                      | What is the significance of  the color code in QSAR worksheet? | 
                    
                      | Training data is shown in green rows and test data is shown in pink  rows. Dependent variable data is shown in red font and independent variable  data in black font. | 
                    
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                      | What is the significance of  contribution chart? | 
                    
                      | Contribution chart displays contribution for variables in terms of  percentage in the final equation of QSAR. | 
                    
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                      | What is the significance of  correlation matrix? | 
                    
                      | Correlation matrix is useful to understand interdependence  of columns while choosing descriptors for QSAR. | 
                    
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                      | How is a 3D QSAR model  evaluated? | 
                    
                      | Following  are the guidelines for evaluating a new molecule design on electrostatic/ steric  field ranges 
                                                  Electrostatic       fielda)       Negative range indicates that negative electrostatic potential is       favorable for increase in the activity and hence a more electronegative       substituent group is preferred in that region.
 b)       Positive range indicates that positive electrostatic potential is       favorable for increase in the activity and hence a less electronegative       substituent group is preferred in that region.
 
                                                  Steric fielda)  Negative range indicates that negative steric potential is favorable for  increase in the activity and hence less bulky substituent group is preferred in  that region.
 b)  Positive range indicates that positive steric potential is favorable for  increase in the activity and hence more bulky substituent group is preferred in  that region.
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                      | How to determine ranges of  important field grid points in kNN-MFA? | 
                    
                      | Steps to determine ranges of important field grid points in  kNN-MFA 
                          Identify  the important field grid points and their interaction type. Sort  the worksheet on the basis of activity in ascending order. Choose  k most active molecules i.e. k bottom most, to increase activity or k top most,  to decrease activity of molecule. For  the above chosen k most active molecules, collect the corresponding interaction  energy values for the identified important field grid points.Find  out minimum and maximum value of each field point on the basis of interaction  energy values of k most active molecules to determine the corresponding range. | 
                    
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                      | How can the models built by  kNN-MFA QSAR be interpreted? | 
                    
                      | The green spheres show location where steric contribution has played  important role and blue spheres are the locations where electrostatic  contribution has played important role. Variation in bulk in these regions  would help in improving the activity. The first value in the parenthesis  indicates lower limit and the second value is the upper limit of steric/ electrostatic  function values for molecules. The molecule adhering to these ranges at  respective field locations are likely to be in the higher activity range. | 
                    
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                      | What is ProViz? | 
                    
                      | ProViz is a tool to study reaction mechanism and chemical processes at a  molecular level. It helps in evaluation and visualization of three-dimensional  molecular properties including those derived from ab initio quantum mechanical  wave function obtained through programs like GAMESS and Gaussian. | 
                    
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                      | Does ProViz compute  wavefunctions for molecules? | 
                    
                      | No. The wavefunction for a given molecule has to be obtained in terms of  molecular orbitals from an external program. Once this is  calculated, ProViz can read that output file (.out, .gam) and calculate various  3D molecular properties. | 
                    
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                      | How can various molecular  properties be visualized using ProViz? | 
                    
                      | ProViz provides high quality graphics tools for visualizing  molecular  scalar fields calculated over a grid in the form of 
                          ProViz also has the option to visualize the Molecular Orbitals (HOMO, LUMO).Textured planesContours in 2D and 3DIsosurfacesTextured vdW surface | 
                    
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                      | How is Grid utilized in  ProViz? | 
                    
                      | All calculations of 3D properties are performed over a 3D Grid in  ProViz. The default values of the grid are taken to be +4 Å or –4 Å from  maximum/ minimum of the atomic coordinates of molecules on the screen. The  default provided by MDS is a grid of 40 by 40 by 40 points. If the user wants  to generate own grid, then there is provision for entering the Xmin, Xmax,  Ymin, Ymax, Zmin, Zmax and number of points on each axis. | 
                    
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                      | What are the hydrophobicity  calculation options? | 
                    
                      | Hydrophobicity distribution is calculated for a molecule over a 3D grid  by extending its domain in each direction by 4 Å. Local hydrophobicity is  evaluated at each and every grid point. XlogP and SlogP can be evaluated through ProViz. User can visualize the  hydrophobicity distribution in the usual way in ProViz. | 
                    
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                      | What is ESP via point  charges? | 
                    
                      | ProViz can calculate the charged based electrostatic potential  (ESP via point charges) over a 3D grid. It uses the already available charges and  in cases where the charges are unavailable it calculates the charges using Gasteiger  Marsili method before calculating the potential. | 
                    
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                      | What is pharmacophore? | 
                    
                      | Pharmacophore is a specific 3D map of biological properties including  determining which are H bond donors, H bond acceptors, negative and positive charge  centers, hydrophobes etc. that are common to all active set of ligands which  exhibit a particular activity. | 
                    
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                      | How are the pharmacophoric  features differentiated in MolSign? | 
                    
                      | Different pharmacophoric features are represented by different colored  spheres. The color code is as follows: Buff color: Hydrogen bond acceptor.
 Magenta color: Hydrogen bond donor.
 Orange color: Aliphatic or aromatic carbon centre.
 Green color: Negative charge centre.
 Violet color: Positive charge centre.
 Out of these spheres shown, the bigger spheres correspond to the actual  pharmacophoric features that make up selected biophore.
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                      | What are the steps for  generating a pharmacophore? | 
                    
                      | The  steps for generating a pharmacophore are: 
                          Identify reference compound (for       example: max activity) Generating properties of all       molecules Finding out common 3D map of 3       to maximum common properties Alignment based on common       propertiesClassic  depiction of Biophores' pharmacophoric features with RMSD of alignment.  | 
                    
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                      | What are the Lipinski  filters used in VLifeMDS? | 
                    
                      | Lipinski filters are based on hydrogen bond acceptor, hydrogen bond  donor, number of rotatable bond, log P, molecular weight and polar surface  area. These filters are based on original Lipinski's Rule of 5 and some  extended parameters. LeadGrow gives scores to each molecule based on number of  parameters satisfied. | 
                    
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                      | What is Lipinski Rule of 5? | 
                    
                      | Lipinski's  Rule of Five states that any drug like candidate should have: 
                          Not more than 5 hydrogen bond       donors Not more than 10 hydrogen bond       acceptors A molecular weight under 500       g/molA  partition coefficient log P less than 5  | 
                    
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                      | How can I validate the  model that I have generated? | 
                    
                      | Users can validate the generated model using functionality detect  criss-cross residues, local geometry check and Ramchandran plot. | 
                    
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                      | What are the different  scoring functions for docking in Biopredicta? | 
                    
                      | The different scoring functions utilized are Dock Score, steric, steric +  electrostatic & PLP Score | 
                    
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                      | Can I use my own scoring  functions? | 
                    
                      | No | 
                    
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                      | Can I do docking with the  flexibility of the ligand? | 
                    
                      | Yes. BioPredicta provides options for complete flexible docking keeping both the receptor and ligand flexible. | 
                    
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                      | How can I identify the  active site to dock the ligand into given protein? | 
                    
                      | Users can use the functionality identify cavity from menu for a given  protein. From the number of cavities identified one can choose appropriate  cavity as an active site based on the residues involved in that cavity. | 
                    
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                      | What is VLifeSCOPE? | 
                    
                      | VLifeSCOPE is a receptor-dependent QSAR method  that provides  better understanding  of ligand-receptor interactions. | 
                    
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                      | Is VLifeSCOPE modeling  different from QSAR modeling? | 
                    
                      | VLifeSCOPE involves breaking down and analyzing the docking interactions  into individual active site residue contributions. These contributions then  become descriptors for QSAR modeling. The regression model to be chosen for  QSAR depends on user. | 
                    
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                      | Can I dock ligand into DNA  using VLifeMDS? | 
                    
                      | Not yet. | 
                    
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                      | I want to see two proteins  together for comparison, what shall I do? | 
                    
                      | The BioPredicta Superimpose functionality can enable visualization of two proteins simultaneously. | 
                    
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                      | What is PLP docking? | 
                    
                      | The Piecewise Linear Pairwise Potential (PLP) scoring function in rigid  docking method includes ligand-receptor interactions of hydrogen bonding  (donor-acceptor), repulsions (donor-donor, acceptor-acceptor) and dispersion  (involving non-polar group interactions) types. This is essentially a rigid  batch docking method where unique conformers of a set of ligands can be fed in  as input. This docking method gives option for ligand guided or cavity guided  docking. If the co-crystallized ligand structure is available, user can choose  this as reference ligand. In case there is no co-crystallized ligand, the grids  will be constructed around the reference cavity, which is the active site  cavity as specified by user. Each of the ligands to be docked will then be  placed at these grid points and these interaction energy terms will be  evaluated. The total energy, which consists of all these energy terms, will be  minimized to get a corresponding PLP score. Out of all possibilities, thirty  top ligand poses together with their PLP score energy and the minimum score as  the best pose are reported for each ligand. | 
                    
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                      | What are the molecule file  formats that I can use to create my database? | 
                    
                      | Users can create database, using *.mds, *.mol2, *.sdf, *.smi molecule  file formats. | 
                    
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                      | Can I create database using  files having different (molecule file) formats at the same time? | 
                    
                      | Yes. All supported files for input should be located in single folder. | 
                    
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                      | Can I tag database with  supplementary notes? | 
                    
                      | Yes. One can add supplementary notes while creating database as  additional comments. Users can view or add additional comments with database  manager. | 
                    
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                      | What is the difference  between user and standard database? | 
                    
                      | Standard databases are the databases provided with ChemXplor whereas  the databases created or imported by user will be considered as user database. Only  user databases are allowed to be deleted. | 
                    
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                      | How can I retrieve  structure of molecules found in search result? | 
                    
                      | Users can retrieve structure of molecules found in search result using  File > Save Result as Molecule menu option. This selected result molecules  will be stored in the specified folder. Usesr also have facility to select  different file format while saving molecules. | 
                    
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                      | How can I view descriptor  values of molecules found in search result? | 
                    
                      | Search result shows descriptor information of only those descriptors,  which are used while searching. Apart from search result displayed user can  view PhysicoChemical descriptors and Atom type counts. | 
                    
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                      | Can I use result of  database search for another search? | 
                    
                      | Users can  save search result as database and this database can be used for second search. | 
                    
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                      | Can I use search result  information in other application? | 
                    
                      | Currently ChemXplor supports information export in *.csv & *.xls  format. | 
                    
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                      | Since ChemXplor can display  multiple search result at a time, how can I identify result based on query used  for results? | 
                    
                      | The query dialogs query type sections have information of query used for  selected search results. | 
                    
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