TANCON 2026, HosurE-Poster Guidelines The poster must be submitted in PDF format only. Single slide/page only. Format: Landscape – 16:9 ratio. Animations and videos are not allowed.
mkdir -p /tmp/workspace/tancon2026-poster && ls /tmp/workspace/
We are pleased to inform you that your E-Poster presentation has been scheduled as follows: E-Poster Title: Genotype-Guided Insights: In Silico Variant Prioritization and Levodopa Response Correlation in Early-Onset Parkinson?s Disease Date of Presentation: 29-08-2026 Time of Presentation: 13:15:00 E-Poster System No.: 1 E-Poster Upload Link: https://marundeshwara.com/eposter/l/?c=NNSASP57 E-Poster Guidelines The poster must be submitted in PDF format only. Single slide/page only. Format: Landscape – 16:9 ratio. Animations and videos are not allowed. Kindly upload your final E-Poster through the above link before the stipulated deadline and be available at the E-Poster area at your scheduled presentation time. We look forward to your participation at TANCON 2026, Hosur.
python3 -c " from docx import Document doc = Document('/tmp/workspace/attachments/2753b921-58b2-4b7d-85ff-acbd3a620619/TANCON2026_Abstract_PD_GenomeToPhenome_Platform TITLED.docx') for p in doc.paragraphs: style = p.style.name if p.style else 'None' if p.text.strip(): print(f'[{style}] {p.text}') "
~/tancon2026-poster/build_poster.py
from reportlab.lib.pagesizes import landscape
from reportlab.lib import colors
from reportlab.lib.units import mm, inch
from reportlab.platypus import Paragraph, Table, TableStyle
from reportlab.lib.styles import ParagraphStyle
from reportlab.lib.enums import TA_LEFT, TA_CENTER, TA_JUSTIFY
from reportlab.pdfgen import canvas
from reportlab.pdfbase import pdfmetrics
from reportlab.pdfbase.ttfonts import TTFont
import math
# ── Page setup: 16:9 landscape (1920×1080 points scaled to A3-ish)
W = 420 * mm # ~1190 pt (16 units)
H = 236.25 * mm # ~669 pt ( 9 units)
PAGE = (W, H)
# ── Colour palette (neurology / deep science)
NAVY = colors.HexColor("#0A1628") # header / footer bg
TEAL = colors.HexColor("#00B4C6") # accent / headings
LTBLUE = colors.HexColor("#E8F6F8") # card backgrounds
MIDBLUE = colors.HexColor("#1A3A5C") # column headers
WHITE = colors.white
GREY = colors.HexColor("#F2F4F6")
DGREY = colors.HexColor("#4A4A4A")
GOLD = colors.HexColor("#F5A623") # highlight accent
def draw_poster(filename):
c = canvas.Canvas(filename, pagesize=PAGE)
c.setTitle("TANCON 2026 – Genotype-Guided Insights – E-Poster")
# ══════════════════════════════════════════════
# BACKGROUND
# ══════════════════════════════════════════════
c.setFillColor(WHITE)
c.rect(0, 0, W, H, fill=1, stroke=0)
# Subtle diagonal stripe texture (light)
c.saveState()
c.setFillColor(colors.HexColor("#EAF4F6"))
c.rect(0, 0, W, H, fill=1, stroke=0)
c.restoreState()
# ══════════════════════════════════════════════
# HEADER BAR
# ══════════════════════════════════════════════
hdr_h = H * 0.145
# Navy base
c.setFillColor(NAVY)
c.rect(0, H - hdr_h, W, hdr_h, fill=1, stroke=0)
# Teal accent strip at very top
c.setFillColor(TEAL)
c.rect(0, H - 4*mm, W, 4*mm, fill=1, stroke=0)
# Conference tag line (left)
c.setFillColor(TEAL)
c.setFont("Helvetica-Bold", 7.5)
c.drawString(10*mm, H - hdr_h + 26*mm, "TANCON 2026 | 14th Annual Conference of Tamil Nadu & Pondicherry Association of Neurologists")
c.setFillColor(WHITE)
c.setFont("Helvetica", 6.5)
c.drawString(10*mm, H - hdr_h + 22.2*mm, '"Mind Matters: Bridging Neurology & Modern Therapeutics" | August 28–30, 2026 | Hotel Hills, Hosur')
# Poster title (centred in header, wrapped manually)
title1 = "Genotype-Guided Insights: In Silico Variant Prioritization"
title2 = "and Levodopa Response Correlation in Early-Onset Parkinson's Disease"
c.setFillColor(WHITE)
c.setFont("Helvetica-Bold", 14.5)
c.drawCentredString(W/2, H - hdr_h + 16.5*mm, title1)
c.setFont("Helvetica-Bold", 14.5)
c.drawCentredString(W/2, H - hdr_h + 11*mm, title2)
# Authors
c.setFillColor(GOLD)
c.setFont("Helvetica-Bold", 7.5)
authors = "Rajasekhar Naidu Y¹ Vijayashankar P² Anitha Saminathan² Indhumathi Nagarathinam³"
c.drawCentredString(W/2, H - hdr_h + 6.2*mm, authors)
# Affiliations
c.setFillColor(colors.HexColor("#B0C8D8"))
c.setFont("Helvetica", 6)
aff = ("¹Dept. of Neurology, Apollo Hospital, Chennai "
"²Dept. of Medical Genetics, Apollo Hospital, Chennai "
"³Dept. of Human Genetics, Sri Ramachandra Institute of Higher Education and Research, Chennai")
c.drawCentredString(W/2, H - hdr_h + 2*mm, aff)
# E-Poster badge (top-right)
badge_x = W - 38*mm
badge_y = H - hdr_h + 18*mm
c.setFillColor(TEAL)
c.roundRect(badge_x, badge_y, 34*mm, 11*mm, 2*mm, fill=1, stroke=0)
c.setFillColor(NAVY)
c.setFont("Helvetica-Bold", 8)
c.drawCentredString(badge_x + 17*mm, badge_y + 3.8*mm, "E-POSTER #1")
# ══════════════════════════════════════════════
# BODY LAYOUT – 5 columns
# ══════════════════════════════════════════════
margin_x = 7*mm
margin_y = 7*mm
footer_h = 10*mm
body_top = H - hdr_h - 3*mm
body_bot = footer_h + margin_y
body_h = body_top - body_bot
body_w = W - 2*margin_x
gap = 4*mm
n_cols = 5
col_w = (body_w - (n_cols-1)*gap) / n_cols
col_x = [margin_x + i*(col_w + gap) for i in range(n_cols)]
# ── helper: draw a card ──────────────────────────────
def card(x, y, w, h, bg=LTBLUE, radius=3):
c.setFillColor(bg)
c.setStrokeColor(colors.HexColor("#CADDE8"))
c.setLineWidth(0.6)
c.roundRect(x, y, w, h, radius, fill=1, stroke=1)
# ── helper: section heading ──────────────────────────
def sec_head(x, y, w, text, bg=MIDBLUE):
c.setFillColor(bg)
c.roundRect(x, y, w, 8.5*mm, 2*mm, fill=1, stroke=0)
c.setFillColor(WHITE)
c.setFont("Helvetica-Bold", 8.5)
c.drawCentredString(x + w/2, y + 2.5*mm, text)
# ── helper: body text paragraph ─────────────────────
def body_text(c_obj, x, y, w, h, text, fs=6.8, leading=9.5, color=DGREY, align="justify"):
from reportlab.platypus import Paragraph
from reportlab.lib.styles import ParagraphStyle
from reportlab.lib.enums import TA_JUSTIFY, TA_LEFT
style = ParagraphStyle(
'body',
fontName='Helvetica',
fontSize=fs,
leading=leading,
textColor=color,
alignment=TA_JUSTIFY if align=="justify" else TA_LEFT,
spaceAfter=2,
)
p = Paragraph(text, style)
p.wrap(w, h)
p.drawOn(c_obj, x, y + h - p.wrapOn(None, w, h)[1])
def draw_text_block(x, top, w, lines, fs=6.8, leading=9.6, pad=2.5*mm):
"""Draw wrapped text lines inside area, return y after last line."""
from reportlab.platypus import Paragraph
from reportlab.lib.styles import ParagraphStyle
from reportlab.lib.enums import TA_JUSTIFY
style = ParagraphStyle('b', fontName='Helvetica', fontSize=fs,
leading=leading, textColor=DGREY, alignment=TA_JUSTIFY)
y_cur = top - pad
for txt in lines:
p = Paragraph(txt, style)
pw, ph = p.wrapOn(c, w - 2*pad, 999)
y_cur -= ph
p.drawOn(c, x + pad, y_cur)
y_cur -= 1.5
return y_cur
def draw_bold_line(x, y, label, value, fs=6.8, w=None):
c.setFont("Helvetica-Bold", fs)
c.setFillColor(MIDBLUE)
lw = c.stringWidth(label, "Helvetica-Bold", fs)
c.drawString(x, y, label)
c.setFont("Helvetica", fs)
c.setFillColor(DGREY)
c.drawString(x + lw + 1.5, y, value)
# ══════════════════════════════════════════════
# COL 0 – BACKGROUND & AIMS
# ══════════════════════════════════════════════
card(col_x[0], body_bot, col_w, body_h)
sec_head(col_x[0], body_bot + body_h - 8.5*mm, col_w, "BACKGROUND & AIMS")
bg_lines = [
("Parkinson's disease (PD) is a progressive neurodegenerative disorder with "
"considerable clinical and genetic heterogeneity."),
("Whole-exome sequencing (WES) has identified numerous PD-associated variants; "
"many remain as <b>variants of uncertain significance (VUS)</b>, limiting clinical interpretation."),
("This study evaluated the pathogenic potential of missense VUS using an "
"<b>integrated in silico framework</b> and explored genotype–phenotype correlations, "
"including levodopa responsiveness."),
]
# Aim box
aim_y = body_bot + body_h - 8.5*mm - 3*mm
for txt in bg_lines:
from reportlab.platypus import Paragraph
from reportlab.lib.styles import ParagraphStyle
from reportlab.lib.enums import TA_JUSTIFY
style = ParagraphStyle('b', fontName='Helvetica', fontSize=6.8, leading=9.6,
textColor=DGREY, alignment=TA_JUSTIFY)
p = Paragraph(txt, style)
pw, ph = p.wrapOn(c, col_w - 5*mm, 999)
aim_y -= (ph + 2)
p.drawOn(c, col_x[0] + 2.5*mm, aim_y)
# "Study Aim" highlight box
aim_y -= 4*mm
c.setFillColor(colors.HexColor("#D0EEF4"))
c.setStrokeColor(TEAL)
c.setLineWidth(1.2)
aim_box_h = 20*mm
c.roundRect(col_x[0] + 2.5*mm, aim_y - aim_box_h, col_w - 5*mm, aim_box_h, 2*mm, fill=1, stroke=1)
c.setFillColor(TEAL)
c.setFont("Helvetica-Bold", 7)
c.drawString(col_x[0] + 4*mm, aim_y - 4.5*mm, "▶ STUDY AIM")
aim_txt = ("To prioritize missense VUS in PD-associated genes using convergent "
"in silico tools and correlate findings with clinical phenotype and "
"levodopa responsiveness.")
from reportlab.platypus import Paragraph
from reportlab.lib.styles import ParagraphStyle
from reportlab.lib.enums import TA_JUSTIFY
style = ParagraphStyle('b', fontName='Helvetica', fontSize=6.8, leading=9.2,
textColor=DGREY, alignment=TA_JUSTIFY)
p = Paragraph(aim_txt, style)
pw, ph = p.wrapOn(c, col_w - 8*mm, 999)
p.drawOn(c, col_x[0] + 4*mm, aim_y - aim_box_h + 3*mm)
# PD diagram circles
circle_y = body_bot + 28*mm
circle_cx = col_x[0] + col_w/2
topics = ["Clinical\nHeterogeneity", "Genetic\nVUS", "Levodopa\nResponse"]
colors_c = [colors.HexColor("#00B4C6"), colors.HexColor("#1A3A5C"), colors.HexColor("#F5A623")]
for i, (topic, col_c) in enumerate(zip(topics, colors_c)):
cx = col_x[0] + (i+1)*(col_w/4)
cy = circle_y
c.setFillColor(col_c)
c.circle(cx, cy, 7.5*mm, fill=1, stroke=0)
c.setFillColor(WHITE)
c.setFont("Helvetica-Bold", 5.5)
lines_t = topic.split("\n")
for li, lt in enumerate(lines_t):
c.drawCentredString(cx, cy + 1.5*mm - li*5, lt)
# label under circles
c.setFillColor(DGREY)
c.setFont("Helvetica", 5.8)
c.drawCentredString(circle_cx, circle_y - 11*mm, "Key Research Dimensions")
# ══════════════════════════════════════════════
# COL 1 – METHODOLOGY
# ══════════════════════════════════════════════
card(col_x[1], body_bot, col_w, body_h)
sec_head(col_x[1], body_bot + body_h - 8.5*mm, col_w, "METHODOLOGY")
# Study design flow
flow_steps = [
("WES", "50 clinically diagnosed PD patients"),
("VUS Identification", "24 missense VUS · 17 patients · 12 genes"),
("In Silico Tools", "Pathogenicity · Structural modeling\nStability · Functional annotation"),
("Prioritization", "High / Moderate / Low priority tiers"),
("Molecular Docking", "FDA-approved anti-Parkinsonian drugs"),
("Genotype–Phenotype", "Age of onset · Motor & non-motor\nCognition · Levodopa response"),
]
flow_top = body_bot + body_h - 11*mm
step_h = (body_h - 12*mm) / len(flow_steps) - 1.5*mm
arr_x = col_x[1] + col_w/2
for i, (step, desc) in enumerate(flow_steps):
sy = flow_top - i * (step_h + 2.2*mm) - step_h
# alternating bg
bg_f = colors.HexColor("#D4EEF6") if i % 2 == 0 else colors.HexColor("#EAF5F9")
c.setFillColor(bg_f)
c.setStrokeColor(TEAL)
c.setLineWidth(0.7)
c.roundRect(col_x[1] + 2*mm, sy, col_w - 4*mm, step_h, 2*mm, fill=1, stroke=1)
# step number bubble
c.setFillColor(TEAL)
c.circle(col_x[1] + 6*mm, sy + step_h/2, 3.2*mm, fill=1, stroke=0)
c.setFillColor(WHITE)
c.setFont("Helvetica-Bold", 6.5)
c.drawCentredString(col_x[1] + 6*mm, sy + step_h/2 - 2, str(i+1))
# step title
c.setFillColor(MIDBLUE)
c.setFont("Helvetica-Bold", 7)
c.drawString(col_x[1] + 11*mm, sy + step_h - 5*mm, step)
# desc
from reportlab.platypus import Paragraph
from reportlab.lib.styles import ParagraphStyle
style = ParagraphStyle('b', fontName='Helvetica', fontSize=6, leading=7.8,
textColor=DGREY)
p = Paragraph(desc.replace("\n", "<br/>"), style)
pw, ph = p.wrapOn(c, col_w - 16*mm, 999)
p.drawOn(c, col_x[1] + 11*mm, sy + 1.5*mm)
# arrow down (not last)
if i < len(flow_steps) - 1:
c.setFillColor(TEAL)
ay = sy - 2.2*mm
c.setFont("Helvetica-Bold", 8)
c.drawCentredString(arr_x, ay - 1*mm, "↓")
# ══════════════════════════════════════════════
# COL 2 – RESULTS
# ══════════════════════════════════════════════
card(col_x[2], body_bot, col_w, body_h)
sec_head(col_x[2], body_bot + body_h - 8.5*mm, col_w, "RESULTS")
# Priority tier donut-style bar
tiers = [
("HIGH", 5, "#E74C3C"),
("MOD", 8, "#F5A623"),
("LOW", 11, "#27AE60"),
]
total_var = 24
bar_top = body_bot + body_h - 12*mm
bar_x = col_x[2] + 2.5*mm
bar_w = col_w - 5*mm
bar_h = 8*mm
# label
c.setFillColor(MIDBLUE)
c.setFont("Helvetica-Bold", 7)
c.drawString(bar_x, bar_top - 5.5*mm, "Variant Prioritization (n=24 VUS)")
bx = bar_x
for label, n, col_hex in tiers:
seg_w = bar_w * n / total_var
c.setFillColor(colors.HexColor(col_hex))
c.rect(bx, bar_top - 14*mm, seg_w, bar_h, fill=1, stroke=0)
c.setFillColor(WHITE)
c.setFont("Helvetica-Bold", 7)
c.drawCentredString(bx + seg_w/2, bar_top - 10.5*mm, f"{label}\nn={n}")
bx += seg_w
# Gap line
gl_y = bar_top - 16.5*mm
c.setStrokeColor(colors.HexColor("#CADDE8"))
c.setLineWidth(0.5)
c.line(col_x[2] + 2.5*mm, gl_y, col_x[2] + col_w - 2.5*mm, gl_y)
# High-priority variants table
c.setFillColor(MIDBLUE)
c.setFont("Helvetica-Bold", 7)
c.drawString(col_x[2] + 2.5*mm, gl_y - 5*mm, "High-Priority Variants")
hp_data = [
["Gene", "Effect", "Impact"],
["DNAJC6", "p.Arg927Trp", "Structural destabilization"],
["LRRK2", "p.Gly2019Ser", "Kinase hyperactivation"],
["PLXNA4", "p.Arg1068Gln", "Axon guidance disruption"],
["DCTN1", "p.Thr1249Met", "Dynactin complex impairment"],
["LRRK2", "p.Arg1441Cys", "GTPase domain alteration"],
]
from reportlab.platypus import Table, TableStyle
tbl_style = TableStyle([
('BACKGROUND', (0,0), (-1,0), MIDBLUE),
('TEXTCOLOR', (0,0), (-1,0), WHITE),
('FONTNAME', (0,0), (-1,0), 'Helvetica-Bold'),
('FONTSIZE', (0,0), (-1,-1), 6),
('FONTNAME', (0,1), (-1,-1), 'Helvetica'),
('BACKGROUND', (0,1), (-1,-1), colors.HexColor("#EAF5F9")),
('ROWBACKGROUNDS',(0,1),(-1,-1), [colors.HexColor("#EAF5F9"), WHITE]),
('TEXTCOLOR', (0,1), (-1,-1), DGREY),
('ALIGN', (0,0), (-1,-1), 'CENTER'),
('VALIGN', (0,0), (-1,-1), 'MIDDLE'),
('GRID', (0,0), (-1,-1), 0.4, colors.HexColor("#CADDE8")),
('ROWBACKGROUNDS',(0,1),(-1,-1),[colors.HexColor("#D4EEF6"), WHITE]),
])
col_widths = [col_w*0.22, col_w*0.26, col_w*0.52]
row_h = 6.2*mm
tbl = Table(hp_data, colWidths=col_widths, rowHeights=[row_h]*len(hp_data))
tbl.setStyle(tbl_style)
tbl_w, tbl_h = tbl.wrapOn(c, col_w - 5*mm, 999)
tbl.drawOn(c, col_x[2] + 2.5*mm, gl_y - 6*mm - tbl_h)
# Phenotype findings
phen_y = gl_y - 7*mm - tbl_h - 5*mm
c.setStrokeColor(colors.HexColor("#CADDE8"))
c.line(col_x[2] + 2.5*mm, phen_y + 2*mm, col_x[2] + col_w - 2.5*mm, phen_y + 2*mm)
c.setFillColor(MIDBLUE)
c.setFont("Helvetica-Bold", 7)
c.drawString(col_x[2] + 2.5*mm, phen_y - 4*mm, "Clinical Phenotype Correlations")
phen_bullets = [
("Earlier disease onset", "#E74C3C"),
("Greater phenotypic heterogeneity", "#F5A623"),
("Increased non-motor burden", "#8E44AD"),
("Variable levodopa responsiveness", "#27AE60"),
]
py = phen_y - 6.5*mm
for txt, col_hex in phen_bullets:
c.setFillColor(colors.HexColor(col_hex))
c.circle(col_x[2] + 5*mm, py + 1.5*mm, 2.2*mm, fill=1, stroke=0)
c.setFillColor(DGREY)
c.setFont("Helvetica", 6.5)
c.drawString(col_x[2] + 9*mm, py, txt)
py -= 7.5*mm
# ══════════════════════════════════════════════
# COL 3 – DISCUSSION
# ══════════════════════════════════════════════
card(col_x[3], body_bot, col_w, body_h)
sec_head(col_x[3], body_bot + body_h - 8.5*mm, col_w, "DISCUSSION")
disc_paras = [
("This integrated in silico approach—combining pathogenicity prediction, "
"structural modeling, stability assessment, and functional annotation—"
"effectively prioritized potentially pathogenic VUS in PD-associated genes."),
("Variants in <b>DNAJC6, LRRK2, PLXNA4,</b> and <b>DCTN1</b> demonstrated "
"high pathogenic potential with evidence of structural destabilization "
"and functional disruption."),
("Carriers of high-priority variants showed clinically relevant associations: "
"earlier age of onset, richer non-motor profiles, and divergent levodopa "
"response patterns—suggesting genotype-driven phenotypic divergence."),
("Molecular docking results indicate that specific variants may alter "
"drug-binding affinity to FDA-approved anti-Parkinsonian agents, supporting "
"genotype-guided therapeutic stratification."),
("The convergent multi-tool framework addresses a critical gap in VUS "
"interpretation, offering a reproducible strategy for clinical genomics in PD."),
]
disc_y = body_bot + body_h - 11*mm
for txt in disc_paras:
from reportlab.platypus import Paragraph
from reportlab.lib.styles import ParagraphStyle
from reportlab.lib.enums import TA_JUSTIFY
style = ParagraphStyle('d', fontName='Helvetica', fontSize=6.8, leading=9.5,
textColor=DGREY, alignment=TA_JUSTIFY)
p = Paragraph(txt, style)
pw, ph = p.wrapOn(c, col_w - 5*mm, 999)
disc_y -= ph + 3
p.drawOn(c, col_x[3] + 2.5*mm, disc_y)
# Key insight box
disc_y -= 5*mm
ki_h = 22*mm
c.setFillColor(colors.HexColor("#FFF8E7"))
c.setStrokeColor(GOLD)
c.setLineWidth(1.5)
c.roundRect(col_x[3] + 2.5*mm, disc_y - ki_h, col_w - 5*mm, ki_h, 2*mm, fill=1, stroke=1)
c.setFillColor(GOLD)
c.setFont("Helvetica-Bold", 7)
c.drawString(col_x[3] + 4.5*mm, disc_y - 5*mm, "★ KEY INSIGHT")
ki_txt = ("Specific missense VUS, when evaluated through convergent in silico evidence, "
"reveal clinically actionable genotype–phenotype relationships that could "
"inform precision medicine approaches in PD management.")
from reportlab.platypus import Paragraph
from reportlab.lib.styles import ParagraphStyle
from reportlab.lib.enums import TA_JUSTIFY
style = ParagraphStyle('k', fontName='Helvetica', fontSize=6.6, leading=9,
textColor=DGREY, alignment=TA_JUSTIFY)
p = Paragraph(ki_txt, style)
pw, ph = p.wrapOn(c, col_w - 8*mm, 999)
p.drawOn(c, col_x[3] + 4*mm, disc_y - ki_h + 2*mm)
# ══════════════════════════════════════════════
# COL 4 – CONCLUSION + KEYWORDS + QR placeholder
# ══════════════════════════════════════════════
card(col_x[4], body_bot, col_w, body_h)
sec_head(col_x[4], body_bot + body_h - 8.5*mm, col_w, "CONCLUSION")
conc_txt = ("This study demonstrates the utility of an integrated in silico framework "
"for resolving the pathogenic potential of missense VUS in Parkinson's disease. "
"The approach enables prioritization of clinically relevant variants and provides "
"insights into their potential impact on disease presentation and treatment response. "
"Genotype-guided stratification may improve precision in therapeutic planning for "
"early-onset PD patients harbouring prioritized variants.")
from reportlab.platypus import Paragraph
from reportlab.lib.styles import ParagraphStyle
from reportlab.lib.enums import TA_JUSTIFY
style = ParagraphStyle('c', fontName='Helvetica', fontSize=6.9, leading=9.6,
textColor=DGREY, alignment=TA_JUSTIFY)
p = Paragraph(conc_txt, style)
pw, ph = p.wrapOn(c, col_w - 5*mm, 999)
conc_top = body_bot + body_h - 11*mm - ph - 2
p.drawOn(c, col_x[4] + 2.5*mm, conc_top)
# Take-home message box
thm_y = conc_top - 6*mm
thm_h = 20*mm
c.setFillColor(colors.HexColor("#E8F6F8"))
c.setStrokeColor(TEAL)
c.setLineWidth(1.2)
c.roundRect(col_x[4] + 2.5*mm, thm_y - thm_h, col_w - 5*mm, thm_h, 2*mm, fill=1, stroke=1)
c.setFillColor(TEAL)
c.setFont("Helvetica-Bold", 7)
c.drawString(col_x[4] + 4.5*mm, thm_y - 5.5*mm, "◆ TAKE-HOME MESSAGE")
thm_txt = ("In silico variant prioritization bridges the gap between genomic "
"uncertainty and clinical actionability in early-onset PD.")
style2 = ParagraphStyle('t', fontName='Helvetica-BoldOblique', fontSize=7, leading=9.5,
textColor=MIDBLUE, alignment=TA_JUSTIFY)
p2 = Paragraph(thm_txt, style2)
pw2, ph2 = p2.wrapOn(c, col_w - 8*mm, 999)
p2.drawOn(c, col_x[4] + 4*mm, thm_y - thm_h + 2*mm)
# Keywords
kw_y = thm_y - thm_h - 5*mm
c.setFillColor(MIDBLUE)
c.setFont("Helvetica-Bold", 7)
c.drawString(col_x[4] + 2.5*mm, kw_y, "Keywords")
kw_list = ["Parkinson's disease", "Variants of uncertain significance",
"Whole-exome sequencing", "In silico analysis",
"Molecular docking", "Genotype–phenotype correlation"]
kw_y -= 3*mm
for kw in kw_list:
kw_y -= 6.5*mm
c.setFillColor(TEAL)
c.roundRect(col_x[4] + 2.5*mm, kw_y - 1*mm, col_w - 5*mm, 5.8*mm, 1.5*mm, fill=1, stroke=0)
c.setFillColor(WHITE)
c.setFont("Helvetica", 6)
c.drawString(col_x[4] + 4.5*mm, kw_y + 1*mm, kw)
# Presentation details box at bottom of col 4
pdet_h = 17*mm
pdet_y = body_bot + 1*mm
c.setFillColor(NAVY)
c.roundRect(col_x[4] + 2.5*mm, pdet_y, col_w - 5*mm, pdet_h, 2*mm, fill=1, stroke=0)
c.setFillColor(TEAL)
c.setFont("Helvetica-Bold", 7)
c.drawString(col_x[4] + 4.5*mm, pdet_y + pdet_h - 5*mm, "Presentation Details")
details = [
("Date:", "29 August 2026"),
("Time:", "13:15"),
("Poster No.:", "#1"),
]
dy = pdet_y + pdet_h - 10.5*mm
for lbl, val in details:
c.setFillColor(GOLD)
c.setFont("Helvetica-Bold", 6.5)
lw = c.stringWidth(lbl, "Helvetica-Bold", 6.5)
c.drawString(col_x[4] + 4.5*mm, dy, lbl)
c.setFillColor(WHITE)
c.setFont("Helvetica", 6.5)
c.drawString(col_x[4] + 4.5*mm + lw + 2, dy, val)
dy -= 5.5*mm
# ══════════════════════════════════════════════
# FOOTER
# ══════════════════════════════════════════════
c.setFillColor(NAVY)
c.rect(0, 0, W, footer_h, fill=1, stroke=0)
c.setFillColor(TEAL)
c.rect(0, footer_h, W, 0.8*mm, fill=1, stroke=0)
c.setFillColor(WHITE)
c.setFont("Helvetica", 6)
c.drawString(10*mm, 3.2*mm, "TANCON 2026 | E-Poster #1 | 29 Aug 2026 · 13:15")
c.setFont("Helvetica", 6)
c.drawCentredString(W/2, 3.2*mm,
"Correspondence: Dept. of Neurology, Apollo Hospital, Chennai")
c.setFillColor(colors.HexColor("#888888"))
c.drawRightString(W - 10*mm, 3.2*mm, "ORIGINAL RESEARCH | Platform Presentation")
c.save()
print("Poster saved!")
draw_poster("/tmp/workspace/tancon2026-poster/TANCON2026_Eposter_Rajasekhar.pdf")
cd /tmp/workspace/tancon2026-poster && python3 build_poster.py 2>&1
ls -lh /tmp/workspace/tancon2026-poster/TANCON2026_Eposter_Rajasekhar.pdf
python3 -c " from pypdf import PdfReader r = PdfReader('/tmp/workspace/tancon2026-poster/TANCON2026_Eposter_Rajasekhar.pdf') p = r.pages[0] w = float(p.mediabox.width) h = float(p.mediabox.height) print(f'Pages: {len(r.pages)}') print(f'Width: {w:.1f} pt ({w/2.8346:.1f} mm)') print(f'Height: {h:.1f} pt ({h/2.8346:.1f} mm)') print(f'Ratio: {w/h:.4f} (16/9 = {16/9:.4f})') "
TANCON2026 Eposter Rajasekhar
PDF Document · PDF
| Column | Content |
|---|---|
| 1 - Background & Aims | PD context, study aim highlight box, 3 research dimension circles |
| 2 - Methodology | 6-step numbered flow chart (WES → VUS → In Silico → Prioritization → Docking → Genotype-Phenotype) |
| 3 - Results | Stacked bar (5 High / 8 Moderate / 11 Low), high-priority gene table (DNAJC6, LRRK2, PLXNA4, DCTN1), phenotype bullet points |
| 4 - Discussion | Narrative paragraphs + gold "Key Insight" box |
| 5 - Conclusion | Full conclusion text, teal "Take-Home Message" box, keywords chips, Presentation Details badge (29 Aug 2026 · 13:15 · #1) |
EVERYTHING SEEMS OK BUT MINIMISE THE tancon venue details ,poster number and presentation time, make the font more visible