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European	
  Life	
  Sciences	
  Infrastructure	
  for	
  Biological	
  Information	
  
www.elixir-­‐europe.org	
  
Cath	
  Brooksbank,	
  EMBL-­‐EBI	
  
Christine	
  Orengo,	
  UCL	
  
Structural	
  bioinformatics	
  
training	
  for	
  ELIXIR-­‐UK	
  
Structural	
  Bioinformatics	
  
Residues	
  in	
  contact	
  with	
  
protein	
  partner	
  
Active	
  site	
  
<10% human proteins known structure
~70-80 can predict structures
 	
  3	
  
Genome3D	
  are	
  coordinating	
  the	
  ELIXIR	
  Structural	
  Bioinformatics	
  
Sector	
  in	
  collaboration	
  with	
  Cath	
  Brooksbank	
  at	
  EBI	
  
	
  
Protein	
  structure	
  classification/analysis	
  
	
  Alexey	
  Murzin	
  –	
  LMB	
  (Cambridge)	
  -­‐	
  SCOP	
  
	
  Christine	
  Orengo	
  –	
  UCL	
  -­‐	
  CATH	
  
Structural	
  annotation	
  of	
  genome	
  sequences	
  and	
  3D	
  models	
  
Tom	
  Blundell	
  –	
  Cambridge	
  University	
  -­‐	
  FUGUE	
  
Christine	
  Orengo	
  –	
  Gene3D	
  
Julian	
  Gough	
  –	
  Bristol	
  University	
  -­‐	
  SUPERFAMILY	
  
David	
  Jones	
  –	
  UCL	
  -­‐	
  pDomThreader	
  
Michael	
  Sternberg	
  –	
  Imperial,	
  London	
  -­‐	
  PHYRE	
  
	
  
Established	
  2010	
  with	
  BBSRC	
  funding	
  -­‐	
  http//:genome3d.eu	
  
 	
  
Our	
  remit…	
  
(i)	
  representing	
  the	
  sector	
  at	
  initial	
  Training	
  the	
  Trainers	
  (TTT)	
  
events	
  
	
  
(ii)	
  organisation	
  of	
  an	
  initial	
  workshop	
  that	
  performs	
  a	
  
training	
  gap	
  analysis	
  for	
  the	
  sector	
  	
  
	
  
(iii)	
  fund-­‐raising	
  for	
  resources	
  that	
  aim	
  to	
  plug	
  these	
  training	
  
gaps.	
  
4	
  
6	
  months	
  part-­‐time	
  funding	
  from	
  the	
  BBSRC	
  
	
  
Richard	
  Grandison	
  at	
  the	
  EBI	
  working	
  with	
  Sarah	
  Morgan	
  
and	
  Cath	
  Brooksbank	
  at	
  Train	
  Online,	
  EBI	
  
 	
  
Achieved	
  so	
  far…	
  
Survey	
  of	
  100	
  UK	
  groups	
  who	
  need	
  or	
  deliver	
  training	
  in	
  
structural	
  bioinformatics	
  
	
  
2	
  day	
  workshop	
  at	
  the	
  EBI	
  –	
  established	
  a	
  ‘Training	
  
Network’	
  and	
  champions	
  in	
  8	
  themes	
  	
  
	
  
Questionnaire	
  and	
  notification	
  of	
  our	
  training	
  network	
  
sent	
  to	
  	
  60	
  major	
  european	
  groups	
  in	
  structural	
  
bioinformatics	
  to	
  identify	
  training	
  material	
  
	
  
4	
  meetings	
  to	
  review	
  existing	
  training	
  material,	
  identify	
  
gaps	
  and	
  plan	
  mechanisms	
  for	
  organising	
  the	
  data	
  
	
  	
  	
  	
  
5	
  
 	
  
Purpose	
  of	
  the	
  Workshop	
  
	
  
•  To	
  reach	
  agreement	
  on	
  the	
  training	
  needs	
  of	
  our	
  target	
  audiences:	
  
•  clinical	
  researchers	
  
•  bench-­‐based	
  molecular	
  life	
  scientists	
  	
  
•  structural	
  biologists	
  
•  structural	
  bioinformaticians	
  
•  computational	
  chemists	
  (industry)	
  
•  medicinal	
  chemists	
  (industry)	
  
•  To	
  develop	
  a	
  plan	
  of	
  how	
  to	
  meet	
  these	
  needs	
  
6	
  
 	
  
Two-­‐day	
  workshop	
  (February	
  2014)	
  
	
  Target	
  audiences	
  
and	
  their	
  needs	
  
Gaps	
  in	
  structural	
  
bioinformatics	
  
training	
  and	
  how	
  to	
  
fill	
  them	
  
Opportunities	
  going	
  
forward	
  
•  Divided	
  audiences	
  in	
  to	
  two	
  groups:	
  
	
   	
  -­‐	
  Generalists	
  	
  -­‐	
  clinical	
  researchers,	
  molecular	
  life	
  
scientists,	
  medicinal	
  chemists	
  
	
  -­‐	
  Specialists	
  -­‐	
  structural	
  bioinformaticians,	
  structural	
  
biologists,	
  computational	
  chemists	
  
25	
  attendees,	
  3	
  breakouts	
  
 	
  
What	
  are	
  the	
  common	
  	
  learning	
  needs	
  of	
  the	
  target	
  
audience	
  
•  How	
  is	
  the	
  quality	
  of	
  a	
  protein	
  structure	
  reported	
  
•  How	
  can	
  you	
  predict	
  the	
  structure	
  of	
  a	
  protein	
  if	
  the	
  structure	
  
has	
  not	
  been	
  determined	
  
•  How	
  can	
  you	
  assess	
  the	
  quality	
  of	
  a	
  predicted	
  structure	
  
•  What	
  can	
  be	
  inferred	
  from	
  a	
  protein	
  structure	
  at	
  different	
  levels	
  
of	
  quality	
  eg	
  
•  Impacts	
  of	
  a	
  mutation	
  on	
  the	
  stability	
  or	
  function	
  
•  Affinity	
  for	
  a	
  particular	
  ligand	
  
8	
  
 	
  
Two-­‐day	
  workshop	
  (February	
  2014)	
  
Established	
  a	
  ‘structural	
  bioinformatics	
  network’	
  with	
  
thematic	
  areas	
  and	
  champions	
  for	
  each	
  area.	
  
Structural	
  biology	
  
Protein	
  structure	
  prediction	
  
Protein	
  protein	
  complexes	
  
Protein	
  ligand	
  Interactions	
  
Structure-­‐based	
  sequence	
  analysis	
  
Structure	
  comparison/analysis	
  
Structure	
  to	
  function	
  
Molecular	
  dynamics	
  
Sameer	
  Velankar,	
  Roman	
  Laskowski	
  
Mike	
  Sternberg,	
  David	
  Jones	
  
Franca	
  Fraternali,	
  Sarah	
  Teichmann	
  
John	
  Overington,	
  Edith	
  Chan	
  
Geoff	
  Barton,	
  Jim	
  Proctor	
  
Christine	
  Orengo,	
  Alexey	
  Murzin	
  
Mark	
  Wass,	
  Janet	
  Thornton	
  
Francesco	
  Gervasio	
  
 	
  
Structural	
  Bioinformatics	
  Sector	
  Activities	
  
January	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  :	
  designed	
  survey	
  of	
  needs	
  sent	
  to	
  200	
  groups	
  	
  
	
   	
   	
  across	
  the	
  UK	
  	
  
February	
  	
  (EBI)	
  	
  	
  	
  	
  	
  	
  	
  	
  :	
  2-­‐day	
  workshop,	
  25	
  participants	
  
April	
  (UCL)	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  :	
  reviewed	
  training	
  material,	
  designed	
  	
   	
  
	
   	
   	
  a	
  survey	
  to	
  identify	
  further	
  material,	
  sent	
  to	
  
	
   	
   	
  60	
  European	
  groups	
  (30	
  responses)	
  
June	
  (EBI)	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  :	
  reviewed	
  training	
  material,	
  identified	
  gaps,	
   	
  
	
   	
   	
  planned	
  training	
  workflows	
  
August	
  (UCL)	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  :	
  detailed	
  design	
  of	
  workflows	
  and	
  metadata	
   	
  
	
   	
   	
  for	
  TESS,	
  Niall	
  Beard	
  from	
  TeSS	
  present	
  
October	
  (UCL)	
  	
  	
  	
  	
  	
  	
  	
  	
  :	
  sample	
  training	
  workflow	
  complete,	
  request	
  	
  
	
   	
   	
  for	
  funding	
  planned	
  
10	
  
 	
  
Analysis	
  of	
  Existing	
  Training	
  Material	
  
Structure	
  annotation	
  :	
  PDB	
  and	
  TrainOnline	
  
	
  	
  
Homology	
  modeling	
  	
  	
  :	
  undergrad	
  material;	
  SWISS-­‐MOD	
  
	
  
Structure	
  prediction	
  	
  	
  	
  :	
  significant	
  gaps	
  
	
  
Protein	
  interactions/docking	
  	
  	
  :	
  	
  significant	
  gaps	
  
	
  
Protein	
  ligand	
  docking	
  	
  :	
  	
  significant	
  gaps	
  
	
  
Impacts	
  of	
  genetic	
  variations	
  	
  	
  :	
  	
  significant	
  gaps	
  
11	
  
 	
  
protein
network Search protein(s) and interactions
Database Integration
Specific applications
3D structure
tutorial	
  
tutorial	
  
tutorial	
  
link	
  
link	
  
tutorial	
  
link	
  
Interactome3D
with
structure /
model?
STRING
Yes
No
Visualisation &
Functional annotation
tutorial	
  
Interface analysis
tutorial	
  
tutorial	
  
tutorial	
  
Protein-protein interaction network analysis
PDBePISA HOTREGION
Complex prediction
BLAST
Structural analysis
Output
*BLAST: Basic Local Alignment Search Tool (sequence similarity)
	
  link	
  
 	
  
13	
  
14	
  
 	
  
Metadata	
  on	
  Training	
  Material	
  for	
  TESS	
  aggregator	
  
15	
  
Resource	
  
link	
  
tutorial	
   paper	
  URL	
   inputs	
   outputs	
   endorsements	
  
•  citations	
  
(age)	
  
•  grading	
  
(elementary,
medium,	
  
advanced)	
  
•  traffic	
  lights	
  
16	
  
 	
  
What	
  are	
  the	
  next	
  steps…….	
  
•  Discussions	
  with	
  TeSS	
  team	
  on	
  how	
  the	
  metadata	
  is	
  integrated	
  in	
  the	
  platform	
  
•  Continue	
  to	
  survey	
  material	
  and	
  design	
  the	
  workflows	
  
•  Establish	
  a	
  broader	
  working	
  group	
  across	
  europe	
  (already	
  in	
  discussion	
  with	
  
Torsten	
  Schwede,	
  Gert	
  Vriend,	
  others)	
  	
  
•  Discussion	
  with	
  BBSRC	
  and	
  other	
  funding	
  agencies	
  to	
  obtain	
  funds	
  to	
  take	
  the	
  
work	
  forward	
  	
  
•  We	
  need	
  an	
  18	
  month	
  post	
  who	
  will	
  work	
  with	
  champions	
  in	
  each	
  theme	
  to	
  
build	
  the	
  workflows	
  and	
  populate	
  the	
  metadata	
  tables	
  
•  Another	
  survey	
  of	
  industry,	
  medical	
  researchers,	
  experimental	
  biologists	
  
17	
  

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Structural bioinformatics and ELIXIR UK by Christine Orengo

  • 1. European  Life  Sciences  Infrastructure  for  Biological  Information   www.elixir-­‐europe.org   Cath  Brooksbank,  EMBL-­‐EBI   Christine  Orengo,  UCL   Structural  bioinformatics   training  for  ELIXIR-­‐UK  
  • 2. Structural  Bioinformatics   Residues  in  contact  with   protein  partner   Active  site   <10% human proteins known structure ~70-80 can predict structures
  • 3.    3   Genome3D  are  coordinating  the  ELIXIR  Structural  Bioinformatics   Sector  in  collaboration  with  Cath  Brooksbank  at  EBI     Protein  structure  classification/analysis    Alexey  Murzin  –  LMB  (Cambridge)  -­‐  SCOP    Christine  Orengo  –  UCL  -­‐  CATH   Structural  annotation  of  genome  sequences  and  3D  models   Tom  Blundell  –  Cambridge  University  -­‐  FUGUE   Christine  Orengo  –  Gene3D   Julian  Gough  –  Bristol  University  -­‐  SUPERFAMILY   David  Jones  –  UCL  -­‐  pDomThreader   Michael  Sternberg  –  Imperial,  London  -­‐  PHYRE     Established  2010  with  BBSRC  funding  -­‐  http//:genome3d.eu  
  • 4.     Our  remit…   (i)  representing  the  sector  at  initial  Training  the  Trainers  (TTT)   events     (ii)  organisation  of  an  initial  workshop  that  performs  a   training  gap  analysis  for  the  sector       (iii)  fund-­‐raising  for  resources  that  aim  to  plug  these  training   gaps.   4   6  months  part-­‐time  funding  from  the  BBSRC     Richard  Grandison  at  the  EBI  working  with  Sarah  Morgan   and  Cath  Brooksbank  at  Train  Online,  EBI  
  • 5.     Achieved  so  far…   Survey  of  100  UK  groups  who  need  or  deliver  training  in   structural  bioinformatics     2  day  workshop  at  the  EBI  –  established  a  ‘Training   Network’  and  champions  in  8  themes       Questionnaire  and  notification  of  our  training  network   sent  to    60  major  european  groups  in  structural   bioinformatics  to  identify  training  material     4  meetings  to  review  existing  training  material,  identify   gaps  and  plan  mechanisms  for  organising  the  data           5  
  • 6.     Purpose  of  the  Workshop     •  To  reach  agreement  on  the  training  needs  of  our  target  audiences:   •  clinical  researchers   •  bench-­‐based  molecular  life  scientists     •  structural  biologists   •  structural  bioinformaticians   •  computational  chemists  (industry)   •  medicinal  chemists  (industry)   •  To  develop  a  plan  of  how  to  meet  these  needs   6  
  • 7.     Two-­‐day  workshop  (February  2014)    Target  audiences   and  their  needs   Gaps  in  structural   bioinformatics   training  and  how  to   fill  them   Opportunities  going   forward   •  Divided  audiences  in  to  two  groups:      -­‐  Generalists    -­‐  clinical  researchers,  molecular  life   scientists,  medicinal  chemists    -­‐  Specialists  -­‐  structural  bioinformaticians,  structural   biologists,  computational  chemists   25  attendees,  3  breakouts  
  • 8.     What  are  the  common    learning  needs  of  the  target   audience   •  How  is  the  quality  of  a  protein  structure  reported   •  How  can  you  predict  the  structure  of  a  protein  if  the  structure   has  not  been  determined   •  How  can  you  assess  the  quality  of  a  predicted  structure   •  What  can  be  inferred  from  a  protein  structure  at  different  levels   of  quality  eg   •  Impacts  of  a  mutation  on  the  stability  or  function   •  Affinity  for  a  particular  ligand   8  
  • 9.     Two-­‐day  workshop  (February  2014)   Established  a  ‘structural  bioinformatics  network’  with   thematic  areas  and  champions  for  each  area.   Structural  biology   Protein  structure  prediction   Protein  protein  complexes   Protein  ligand  Interactions   Structure-­‐based  sequence  analysis   Structure  comparison/analysis   Structure  to  function   Molecular  dynamics   Sameer  Velankar,  Roman  Laskowski   Mike  Sternberg,  David  Jones   Franca  Fraternali,  Sarah  Teichmann   John  Overington,  Edith  Chan   Geoff  Barton,  Jim  Proctor   Christine  Orengo,  Alexey  Murzin   Mark  Wass,  Janet  Thornton   Francesco  Gervasio  
  • 10.     Structural  Bioinformatics  Sector  Activities   January                                              :  designed  survey  of  needs  sent  to  200  groups          across  the  UK     February    (EBI)                  :  2-­‐day  workshop,  25  participants   April  (UCL)                                  :  reviewed  training  material,  designed            a  survey  to  identify  further  material,  sent  to        60  European  groups  (30  responses)   June  (EBI)                                      :  reviewed  training  material,  identified  gaps,          planned  training  workflows   August  (UCL)                        :  detailed  design  of  workflows  and  metadata          for  TESS,  Niall  Beard  from  TeSS  present   October  (UCL)                  :  sample  training  workflow  complete,  request          for  funding  planned   10  
  • 11.     Analysis  of  Existing  Training  Material   Structure  annotation  :  PDB  and  TrainOnline       Homology  modeling      :  undergrad  material;  SWISS-­‐MOD     Structure  prediction        :  significant  gaps     Protein  interactions/docking      :    significant  gaps     Protein  ligand  docking    :    significant  gaps     Impacts  of  genetic  variations      :    significant  gaps   11  
  • 12.     protein network Search protein(s) and interactions Database Integration Specific applications 3D structure tutorial   tutorial   tutorial   link   link   tutorial   link   Interactome3D with structure / model? STRING Yes No Visualisation & Functional annotation tutorial   Interface analysis tutorial   tutorial   tutorial   Protein-protein interaction network analysis PDBePISA HOTREGION Complex prediction BLAST Structural analysis Output *BLAST: Basic Local Alignment Search Tool (sequence similarity)  link  
  • 14. 14  
  • 15.     Metadata  on  Training  Material  for  TESS  aggregator   15   Resource   link   tutorial   paper  URL   inputs   outputs   endorsements   •  citations   (age)   •  grading   (elementary, medium,   advanced)   •  traffic  lights  
  • 16. 16  
  • 17.     What  are  the  next  steps…….   •  Discussions  with  TeSS  team  on  how  the  metadata  is  integrated  in  the  platform   •  Continue  to  survey  material  and  design  the  workflows   •  Establish  a  broader  working  group  across  europe  (already  in  discussion  with   Torsten  Schwede,  Gert  Vriend,  others)     •  Discussion  with  BBSRC  and  other  funding  agencies  to  obtain  funds  to  take  the   work  forward     •  We  need  an  18  month  post  who  will  work  with  champions  in  each  theme  to   build  the  workflows  and  populate  the  metadata  tables   •  Another  survey  of  industry,  medical  researchers,  experimental  biologists   17